Adaptive cruise performance evaluation method, system, storage medium and device

Abstract

The present invention discloses an adaptive cruise performance evaluation method, system, storage medium and device, the method comprising: setting a plurality of driving conditions corresponding to the adaptive cruise function of the vehicle to be tested, obtaining evaluation indicators corresponding to each driving condition; creating a set of items to be tested corresponding to the vehicle to be tested according to the plurality of driving conditions and their corresponding evaluation indicators; obtaining vehicle data and status data corresponding to each driving condition in the set of items to be tested at the current time node according to a preset sorting rule; performing data processing on the vehicle data and status data according to the evaluation indicators corresponding to each driving condition, obtaining key feature data corresponding to the driving condition; and evaluating the adaptive cruise indicator performance corresponding to the driving condition according to the key feature data. The present invention can accurately evaluate the adaptive cruise performance, so that accurate calibration can be performed during the vehicle development and design process, which is conducive to ensuring subsequent driving safety.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle performance evaluation, and in particular to an adaptive cruise performance evaluation method, system, storage medium and device. Background Art

[0002] With the rapid development of intelligent automobile technology, more and more new car models are equipped with driving assistance systems, which can effectively assist drivers in vehicle control, relieve driver fatigue, improve driving safety, and greatly reduce the occurrence of traffic accidents. Among driving assistance systems, the ACC (adaptive cruise control) function is used frequently by users, especially in high-speed cruising, so how to evaluate the performance of the ACC system is particularly urgent.

[0003] However, although ACC can accurately maintain the distance from the vehicle in front in relatively simple scenarios such as highways, its response ability may be insufficient in urban roads and complex traffic, such as sudden lane changes and emergency braking, thereby increasing potential driving risks. In addition, due to technical limitations, ACC may not be able to make accurate judgments, such as identifying stationary objects as vehicles, or reacting too slowly in emergency situations, which may directly threaten driving safety.

[0004] Therefore, the existing technology still generally has the problem of limited ACC recognition accuracy and response ability, which can easily threaten driving safety under certain circumstances. Therefore, accurate evaluation of ACC performance is very necessary. Summary of the invention

[0005] In view of the deficiencies in the prior art, the purpose of the present invention is to provide an adaptive cruise performance evaluation method, system, storage medium and device, aiming to systematically and accurately evaluate the adaptive cruise performance, so that accurate calibration can be performed during the vehicle development and design process, which is conducive to ensuring subsequent driving safety.

[0006] A first aspect of the present invention is to provide an adaptive cruise performance evaluation method, the method comprising:

[0007] Set multiple driving conditions corresponding to turning on the adaptive cruise function of the vehicle to be tested, and obtain evaluation indicators corresponding to each driving condition;

[0008] Creating a set of test items corresponding to the vehicle to be tested according to a plurality of driving conditions and their corresponding evaluation indicators;

[0009] According to the preset sorting rules, the vehicle data and status data corresponding to each driving condition in the set of items to be tested at the current time node are obtained;

[0010] According to the evaluation index corresponding to each driving condition, the vehicle data and the state data are processed to obtain key feature data corresponding to the driving condition;

[0011] The adaptive cruise control index performance corresponding to the driving condition is evaluated based on the key feature data.

[0012] According to one aspect of the above technical solution, the step of obtaining the vehicle data and status data corresponding to each driving condition in the set of items to be tested at the current time node according to the preset sorting rule includes:

[0013] According to the sorting rules of each test item in the vehicle test site, each driving condition in the set of test items is evaluated in turn;

[0014] Obtaining a current time node corresponding to each driving condition in the set of items to be tested when the vehicle to be tested enters the set;

[0015] Obtain the vehicle data and status data corresponding to each driving condition at the current time node.

[0016] According to one aspect of the above technical solution, the step of performing data processing on the vehicle data and the state data according to the evaluation index corresponding to each driving condition to obtain key feature data corresponding to the driving condition includes:

[0017] According to the evaluation index corresponding to each driving condition, the evaluation index is split into a plurality of sub-item indexes corresponding to the evaluation index;

[0018] According to the indicator content data of the sub-item indicator, the vehicle data and the status data are traversed to find data that meets the sub-item indicator, and obtain key feature data corresponding to the driving condition.

[0019] According to one aspect of the above technical solution, the step of traversing the vehicle data and the state data according to the indicator content data of the sub-item indicator, searching for data that meets the sub-item indicator, and obtaining key feature data corresponding to the driving condition includes:

[0020] Performing data format conversion on the vehicle data and the status data to obtain vehicle content data in a tabular form;

[0021] According to the indicator content data of the sub-item indicator, the vehicle content data is traversed to find at least part of the data in the vehicle content data that meets the sub-item indicator, so as to obtain key feature data corresponding to the driving condition.

[0022] According to one aspect of the above technical solution, the driving conditions include following vehicle conditions, following vehicle stop-and-go conditions, vehicle cut-in conditions, vehicle cut-out conditions, curve driving conditions, slope driving conditions and vehicle intrusion conditions.

[0023] According to one aspect of the above technical solution, the vehicle entry condition includes a vehicle entry sub-condition and a target vehicle entry sub-condition, the vehicle exit condition includes a vehicle exit sub-condition and a target vehicle exit sub-condition, and the following vehicle driving condition includes a single target sub-condition and a multi-target sub-condition.

[0024] According to one aspect of the above technical solution, the method further includes:

[0025] Acquiring vehicle interaction data of the vehicle to be tested when executing each driving condition;

[0026] Based on the vehicle interaction data, the interaction logic of the vehicle when executing each driving condition is evaluated.

[0027] A second aspect of the present invention is to provide an adaptive cruise performance evaluation method, which is applied to the method described in the above technical solution, and the system comprises:

[0028] A driving condition setting module, used to set multiple driving conditions corresponding to the vehicle to be tested turning on the adaptive cruise function, and obtain the evaluation index corresponding to each driving condition;

[0029] A test item creation module, used to create a set of test items corresponding to the vehicle to be tested according to a plurality of driving conditions and their corresponding evaluation indicators;

[0030] A data acquisition module, used to acquire the vehicle data and status data corresponding to each driving condition in the set of items to be tested at the current time node according to a preset sorting rule;

[0031] A data processing module, used to process the vehicle data and the state data according to the evaluation index corresponding to each driving condition, so as to obtain key feature data corresponding to the driving condition;

[0032] A performance evaluation module is used to evaluate the adaptive cruise index performance corresponding to the driving condition according to the key feature data.

[0033] A third aspect of the present invention is to provide a readable storage medium having a computer program stored thereon, which implements the method described in the above technical solution when executed by a processor.

[0034] The fourth aspect of the present invention is to provide an electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the method described in the above technical solution when executing the computer program.

[0035] Compared with the prior art, the adaptive cruise performance evaluation method, system, storage medium and device shown in the present invention have the following beneficial effects:

[0036] In the present invention, by setting multiple driving conditions corresponding to the adaptive cruise function of the vehicle to be tested, the evaluation index corresponding to each driving condition is obtained, and according to the multiple driving conditions and the evaluation indexes corresponding to each driving condition, a set of items to be tested corresponding to the vehicle to be tested is created, and according to the preset sorting rules, the vehicle data and state data corresponding to each driving condition in the set of items to be tested of the vehicle to be tested at the current time node are obtained, and according to the evaluation index corresponding to each driving condition, the vehicle data and the state data of the vehicle to be tested are processed to obtain the key feature data corresponding to the driving condition of the vehicle to be tested, and the adaptive cruise index performance corresponding to the driving condition of the vehicle to be tested is evaluated according to the key feature data of the vehicle to be tested. The present invention extracts the key feature data based on the vehicle data and the state data, and then evaluates the index performance of the adaptive cruise function based on the key feature data, which can systematically and accurately evaluate the various driving conditions of the adaptive cruise, which is conducive to the accurate calibration of the adaptive cruise during the development process, thereby facilitating the improvement of driving safety and comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0038] Figure 1 Schematic diagram of a flow chart of an adaptive cruise performance evaluation method in one embodiment of the present invention;

[0039] Figure 2 4 is a structural block diagram of an adaptive cruise performance evaluation system in one embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings. Several embodiments of the present invention are shown in the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0041] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0043] Embodiment 1

[0044] See also Figure 1 The first embodiment of the present invention provides an adaptive cruise performance evaluation method, the method comprising steps S10 to S50:

[0045] Step S10, setting a plurality of driving conditions corresponding to the vehicle to be tested turning on the adaptive cruise function, and obtaining evaluation indicators corresponding to each driving condition.

[0046] First of all, it should be noted that the adaptive cruise control function, or ACC, on the vehicle under test adds a control function to maintain a reasonable distance from the vehicle in front based on the cruise control system. Through perception sensors such as radar and cameras, the distance and speed of the vehicle in front are monitored in real time, and the speed of the vehicle is automatically adjusted to maintain a safe distance from the vehicle in front, so as to achieve vehicle-following driving.

[0047] In this embodiment, it is necessary to evaluate the performance of the adaptive cruise control of the vehicle to be tested, for example, to evaluate the performance of various driving scenarios such as following a vehicle and following a vehicle on a curve, that is, to evaluate the performance of the adaptive cruise control.

[0048] Specifically, before evaluating the performance of the adaptive cruise function of the vehicle under test, it is first necessary to set multiple driving conditions corresponding to the adaptive cruise function of the vehicle under test, which is equivalent to pre-setting the scenario conditions that may be encountered when using this function, and then obtain the evaluation indicators corresponding to each driving condition. These evaluation indicators are usually formulated by the OEM according to relevant regulations. For example, the evaluation indicator corresponding to the following driving condition requires that the longitudinal distance between the vehicle under test and the target vehicle remains relatively constant at multiple time nodes. Each driving condition will be evaluated through the evaluation indicators to achieve the evaluation of the adaptive cruise performance.

[0049] Among them, driving conditions include following vehicle driving conditions, following vehicle stop and go conditions, vehicle cut-in conditions, vehicle cut-out conditions, curve driving conditions, slope driving conditions and vehicle intrusion conditions. Specifically, vehicle cut-in conditions include own vehicle cut-in sub-conditions and target vehicle cut-in sub-conditions, vehicle cut-out conditions include own vehicle cut-out sub-conditions and target vehicle cut-out sub-conditions, and following vehicle driving conditions include single target sub-conditions and multiple target sub-conditions.

[0050] Step S20, creating a set of test items corresponding to the test vehicle according to a plurality of driving conditions and their corresponding evaluation indicators.

[0051] In this embodiment, after setting multiple driving conditions corresponding to the adaptive cruise function of the vehicle to be tested and their corresponding evaluation indicators, a set of test items corresponding to the adaptive cruise function of the vehicle to be tested will be created according to the multiple driving conditions and their corresponding evaluation indicators, that is, multiple driving conditions will be connected in series, for example, in series according to time, so that the test can be automatically carried out based on the change of time nodes. Of course, the test progress can also be manually controlled by the tester, and its priority is higher than the automatic test.

[0052] Step S30, according to a preset sorting rule, obtaining the vehicle data and status data corresponding to each driving condition in the set of items to be tested at the current time node.

[0053] In this embodiment, the step of obtaining the vehicle data and status data corresponding to each driving condition in the set of items to be tested at the current time node according to the preset sorting rule includes:

[0054] According to the sorting rules of each test item in the vehicle test site, each driving condition in the set of test items is evaluated in turn;

[0055] Obtaining a current time node corresponding to each driving condition in the set of items to be tested when the vehicle to be tested enters the set;

[0056] Obtain the vehicle data and status data corresponding to each driving condition at the current time node.

[0057] In this embodiment, multiple driving conditions of the vehicle under test with the adaptive cruise function turned on are evaluated separately, that is, the data generated by the vehicle under test during the completion of various driving conditions is evaluated to clarify the performance of the vehicle under test when the adaptive cruise function is turned on for automatic cruising.

[0058] Specifically, the vehicle to be tested is tested in a professional vehicle test site, which has multiple test sites for completing the tests of multiple test projects respectively. In this embodiment, each driving condition in the set of test projects will be evaluated in turn according to the sorting rules of each test project in the vehicle test site. When evaluating a single driving condition, the current time node corresponding to each driving condition in the set of test projects when the vehicle to be tested enters will be determined first, and then the vehicle data and status data will be obtained respectively according to the current time node. Among them, the vehicle data is the vehicle status data of the vehicle to be tested when performing adaptive cruise control, such as the current vehicle speed, acceleration, deceleration, steering wheel angle, etc., and the status data is the environmental data of the vehicle to be tested in the test site, such as the longitudinal distance value and lateral distance value between the vehicle to be tested and the target vehicle.

[0059] Step S40: Processing the vehicle data and the state data according to the evaluation index corresponding to each driving condition to obtain key feature data corresponding to the driving condition.

[0060] In this embodiment, according to the evaluation index corresponding to each driving condition, the vehicle data and the state data are processed to obtain key feature data corresponding to the driving condition, including:

[0061] According to the evaluation index corresponding to each driving condition, the evaluation index is split into a plurality of sub-item indexes corresponding to the evaluation index;

[0062] According to the indicator content data of the sub-item indicator, the vehicle data and the status data are traversed to find data that meets the sub-item indicator, and obtain key feature data corresponding to the driving condition.

[0063] The step of traversing the vehicle data and the state data according to the indicator content data of the sub-item indicator, searching for data that meets the sub-item indicator, and obtaining key feature data corresponding to the driving condition includes:

[0064] Performing data format conversion on the vehicle data and the status data to obtain vehicle content data in a tabular form;

[0065] According to the indicator content data of the sub-item indicator, the vehicle content data is traversed to find at least part of the data in the vehicle content data that meets the sub-item indicator, so as to obtain key feature data corresponding to the driving condition.

[0066] In this embodiment, in the process of obtaining the key feature data corresponding to each driving condition, the evaluation index will first be split into multiple sub-item indicators corresponding to the evaluation index according to the evaluation index corresponding to each driving condition, so that it can be compared with the vehicle data and status data more specifically to output the key feature data.

[0067] Specifically, after the evaluation index is split into multiple sub-item indexes, the vehicle data and status data will be traversed according to the index content data of the sub-item index to find some data that meets the index requirements of the sub-item index, and then this part of the data will be determined as the key feature data corresponding to the driving condition, so as to facilitate the subsequent evaluation of the adaptive cruise performance based on the key feature data.

[0068] Among them, after obtaining vehicle data and status data, vehicle data such as speed, acceleration and deceleration, status data such as the longitudinal distance value between the vehicle to be tested and the target vehicle in front of the same lane and\or the lateral distance value between the target vehicles in adjacent lanes, the vehicle data and status data will be converted into data formats to obtain vehicle content data in a tabular form, and then the vehicle content data will be traversed according to the indicator content data of each sub-item indicator to find at least part of the data in the vehicle content data that meets the sub-item indicator, so as to obtain key feature data corresponding to the driving condition.

[0069] Step S50: evaluating the adaptive cruise control index performance corresponding to the driving condition according to the key feature data.

[0070] In this embodiment, after acquiring the key characteristic data, the index performance of the adaptive cruise function corresponding to each driving condition is evaluated, so that the performance of the adaptive cruise function can be evaluated.

[0071] Next, this embodiment will describe in detail the performance evaluation of adaptive cruise control in various driving conditions:

[0072] 1. Evaluation of vehicle following control

[0073] 1.1. Evaluation conditions

[0074] In the straight road condition, the vehicle under test and the target vehicle travel in the same lane. During the evaluation process, the driving requirements for the vehicle are as shown in Table 1 for the following control evaluation condition.

[0075] Table 1

[0076]

[0077] 1.2 Evaluation Indicators

[0078] The motion performance of the vehicle under test following the target vehicle using ACC is subjectively evaluated.

[0079] ——Speed ​​control: Evaluate the accuracy and stability of the cruise control of the vehicle under test.

[0080] ——Following distance: Evaluate whether the following distance between the vehicle under test and the target vehicle meets the requirements of normal driving.

[0081] 2. Stop and Go Control Evaluation

[0082] 2.1. Evaluation conditions

[0083] In the straight road condition, the vehicle under test and the target vehicle travel in the same lane. After the vehicle under test stably follows the target vehicle, the target vehicle stops at different decelerations. After the target vehicle stops, it starts within 3 seconds and after 3 seconds, respectively, as shown in Table 2 for the stop-and-go control evaluation condition.

[0084] Table 2

[0085]

[0086] 2.2 Evaluation Indicators

[0087] The actual road traffic jam condition is simulated, and the target vehicle stops and starts to evaluate the parking comfort of ACC.

[0088] ——Stop distance: Evaluate whether the stop distance between the vehicle under test and the target vehicle is appropriate.

[0089] ——Parking process: Evaluate the comfort and safety of the vehicle under test from moving to stopping.

[0090] ——Starting process: Evaluate the comfort and safety of the vehicle from stopping to moving.

[0091] 3. Cut-in control evaluation

[0092] 3.1. Evaluation conditions

[0093] In the straight-line condition, the vehicle under test and the target vehicle are traveling in adjacent lanes, and the target vehicle cuts into the lane at an appropriate time, as shown in Table 3 for the cut-in control evaluation condition.

[0094] Table 3

[0095]

[0096] 3.2 Evaluation Indicators

[0097] The preceding vehicle in the adjacent lane cuts into the lane at a certain distance in front of the vehicle to be tested and becomes the target vehicle to evaluate the response of ACC.

[0098] ——Response time: Evaluate whether the time from the target vehicle cutting into the lane to the braking response of the vehicle under test is appropriate.

[0099] ——Deceleration process: evaluate the comfort of the deceleration process.

[0100] 4. Cut-out control evaluation

[0101] 4.1. Evaluation conditions

[0102] In the straight road condition, the vehicle under test and the target vehicle travel in the same lane, and the target vehicle cuts out of the lane at an appropriate time, as shown in Table 4 for the cut-out control evaluation condition.

[0103] Table 4

[0104]

[0105] 4.2 Evaluation Indicators

[0106] The target vehicle is simulated to cut out of the lane at a certain distance in front of the vehicle to be tested, and the response of ACC is evaluated.

[0107] ——Response time: Evaluate whether the time from the target vehicle cutting out of the lane to the test vehicle accelerating in response is appropriate.

[0108] ——Acceleration process: evaluate the comfort of the acceleration process.

[0109] 5. Cornering control evaluation

[0110] 5.1. Evaluation conditions

[0111] In the curve conditions with radii of 125m and 250m respectively, the vehicle under test and the target vehicle travel in the same lane, as shown in Table 5 for the curve control evaluation conditions.

[0112] Table 5

[0113]

[0114] 5.2 Evaluation Indicators

[0115] Evaluate the adaptability of ACC under curve conditions.

[0116] ——Target recognition: Evaluates whether ACC loses the target when the vehicle enters, drives on a curve, or exits a curve.

[0117] ——Speed ​​control: Evaluate whether the speed control is reasonable under curve conditions, such as not actively accelerating or decelerating appropriately.

[0118] ——Following distance: Evaluate whether the following distance between the vehicle under test and the target vehicle meets the requirements of normal driving.

[0119] 6. Hill Descent Control

[0120] 6.1. Evaluation conditions

[0121] Under the working condition of 10% to 30% slope, the vehicle under test and the target vehicle travel in the same lane, as shown in Table 6 for the slope control evaluation working condition.

[0122] Table 6

[0123]

[0124] 6.2 Evaluation Indicators

[0125] Evaluate the adaptability of ACC under slope conditions.

[0126] ——Target recognition: Evaluate whether ACC has lost its target.

[0127] ——Speed ​​control: Evaluate whether the speed control accuracy and stability under ramp conditions decrease.

[0128] ——Following distance: Evaluate whether the following distance between the vehicle under test and the target vehicle meets the requirements of normal driving.

[0129] 7. Multi-target discrimination evaluation

[0130] 7.1. Evaluation conditions

[0131] There are two target vehicles in the adjacent lane and the adjacent lane, with the same initial position and speed. After the test starts, the target vehicle 1 in the adjacent lane accelerates, and the test ends when the vehicle under test exceeds the target vehicle 2 in the adjacent lane, as shown in Table 7 for the multi-target recognition evaluation working conditions.

[0132] Table 7

[0133]

[0134] 7.2 Evaluation Indicators

[0135] Evaluate ACC's target recognition capability under multiple preceding vehicle conditions.

[0136] 8. Intrusion Control Evaluation

[0137] 8.1. Evaluation conditions

[0138] In the straight road condition, the vehicle under test and the target vehicle travel in the same lane, and their initial distance is greater than 200m, as shown in Table 8 for the intrusion control evaluation condition.

[0139] Table 8

[0140]

[0141] 8.2 Evaluation Metrics

[0142] ——Target recognition: Evaluate whether the distance at which ACC locks onto the target vehicle is appropriate.

[0143] ——Response time: Evaluates whether the moment when ACC starts to decelerate is timely.

[0144] ——Acceleration process: Evaluate the comfort of ACC deceleration process.

[0145] Compared with the prior art, the adaptive cruise performance evaluation method shown in this embodiment has the following beneficial effects:

[0146] In this embodiment, by setting multiple driving conditions corresponding to the adaptive cruise function of the vehicle to be tested, the evaluation index corresponding to each driving condition is obtained, and according to the multiple driving conditions and the evaluation indexes corresponding to each driving condition, a set of items to be tested corresponding to the vehicle to be tested is created, and according to the preset sorting rules, the vehicle data and state data corresponding to each driving condition in the set of items to be tested of the vehicle to be tested at the current time node are obtained, and according to the evaluation index corresponding to each driving condition, the vehicle data and the state data of the vehicle to be tested are processed to obtain the key feature data corresponding to the driving condition of the vehicle to be tested, and the adaptive cruise index performance corresponding to the driving condition of the vehicle to be tested is evaluated according to the key feature data of the vehicle to be tested. In this embodiment, the key feature data is extracted based on the vehicle data and the state data, and then the index performance of the adaptive cruise function is evaluated based on the key feature data, so that the various driving conditions of the adaptive cruise can be systematically and accurately evaluated, which is conducive to the accurate calibration of the adaptive cruise during the development process, thereby facilitating the improvement of driving safety and comfort.

[0147] Embodiment 2

[0148] The second embodiment of the present invention also provides an adaptive cruise performance evaluation method. The method shown in this embodiment is basically the same as the method shown in the first embodiment, except that:

[0149] In this embodiment, the method further includes:

[0150] Acquiring vehicle interaction data of the vehicle to be tested when executing each driving condition;

[0151] Based on the vehicle interaction data, the interaction logic of the vehicle when executing each driving condition is evaluated.

[0152] Specifically, during the process of the tested vehicle executing each working condition, this embodiment will obtain vehicle interaction data, that is, the interaction signals between the tested vehicle and the user, such as sound signals, light signals, etc., so as to evaluate the interaction logic of each driving condition based on the logic and timeliness of the interaction signal output, so as to guide the development front end to better calibrate the interaction logic.

[0153] Embodiment 3

[0154] See also Figure 2 The third embodiment of the present invention provides an adaptive cruise performance evaluation system, which is applied to the method described in any of the above embodiments. The system includes: a driving condition setting module 10, a test item creation module 20, a data acquisition module 30, a data processing module 40 and a performance evaluation module 50.

[0155] A driving condition setting module 10 is used to set a plurality of driving conditions corresponding to the vehicle to be tested turning on the adaptive cruise function, and obtain evaluation indicators corresponding to each driving condition;

[0156] A test item creation module 20, for creating a set of test items corresponding to the vehicle to be tested according to a plurality of driving conditions and their corresponding evaluation indicators;

[0157] The data acquisition module 30 is used to acquire the vehicle data and status data corresponding to each driving condition in the set of items to be tested at the current time node according to a preset sorting rule;

[0158] A data processing module 40 is used to process the vehicle data and the state data according to the evaluation index corresponding to each driving condition to obtain key feature data corresponding to the driving condition;

[0159] The performance evaluation module 50 is used to evaluate the adaptive cruise index performance corresponding to the driving condition according to the key characteristic data.

[0160] Compared with the prior art, the adaptive cruise performance evaluation system shown in this embodiment has the following beneficial effects:

[0161] In this embodiment, by setting multiple driving conditions corresponding to the adaptive cruise function of the vehicle to be tested, the evaluation index corresponding to each driving condition is obtained, and according to the multiple driving conditions and the evaluation indexes corresponding to each driving condition, a set of items to be tested corresponding to the vehicle to be tested is created, and according to the preset sorting rules, the vehicle data and state data corresponding to each driving condition in the set of items to be tested of the vehicle to be tested at the current time node are obtained, and according to the evaluation index corresponding to each driving condition, the vehicle data and the state data of the vehicle to be tested are processed to obtain the key feature data corresponding to the driving condition of the vehicle to be tested, and the adaptive cruise index performance corresponding to the driving condition of the vehicle to be tested is evaluated according to the key feature data of the vehicle to be tested. In this embodiment, the key feature data is extracted based on the vehicle data and the state data, and then the index performance of the adaptive cruise function is evaluated based on the key feature data, so that the various driving conditions of the adaptive cruise can be systematically and accurately evaluated, which is conducive to the accurate calibration of the adaptive cruise during the development process, thereby facilitating the improvement of driving safety and comfort.

[0162] Embodiment 4

[0163] A fourth embodiment of the present invention provides a readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method described in the above embodiment is implemented.

[0164] Embodiment 5

[0165] A fifth embodiment of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the method described in the above embodiments when executing the computer program.

[0166] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0167] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for those of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for evaluating adaptive cruise performance, characterized in that: The method comprises: Set multiple driving conditions corresponding to turning on the adaptive cruise function of the vehicle to be tested, and obtain evaluation indicators corresponding to each driving condition; Creating a set of test items corresponding to the vehicle to be tested according to a plurality of driving conditions and their corresponding evaluation indicators; According to the preset sorting rules, the vehicle data and status data corresponding to each driving condition in the set of items to be tested at the current time node are obtained; According to the evaluation index corresponding to each driving condition, the vehicle data and the state data are processed to obtain key feature data corresponding to the driving condition; According to the key characteristic data, evaluating the adaptive cruise index performance corresponding to the driving condition; The step of obtaining the vehicle data and status data corresponding to each driving condition in the set of items to be tested at the current time node according to the preset sorting rule includes: According to the sorting rules of each test item in the vehicle test site, each driving condition in the set of test items is evaluated in turn; Obtaining a current time node corresponding to each driving condition in the set of items to be tested when the vehicle to be tested enters the set; Obtain the vehicle data and status data corresponding to each driving condition at the current time node; The step of processing the vehicle data and the state data according to the evaluation index corresponding to each driving condition to obtain key feature data corresponding to the driving condition includes: According to the evaluation index corresponding to each driving condition, the evaluation index is split into a plurality of sub-item indexes corresponding to the evaluation index; According to the indicator content data of the sub-item indicator, the vehicle data and the state data are traversed to find data that meets the sub-item indicator to obtain key feature data corresponding to the driving condition; The step of traversing the vehicle data and the state data according to the indicator content data of the sub-item indicator, searching for data that meets the sub-item indicator, and obtaining key feature data corresponding to the driving condition includes: Performing data format conversion on the vehicle data and the status data to obtain vehicle content data in a tabular form; According to the indicator content data of the sub-item indicator, the vehicle content data is traversed to search for at least part of the data in the vehicle content data that meets the sub-item indicator, and obtain key feature data corresponding to the driving condition; Among them, the driving conditions include following vehicle driving conditions, following vehicle stop and go conditions, vehicle cut-in conditions, vehicle cut-out conditions, curve driving conditions, slope driving conditions and vehicle intrusion conditions.

2. The adaptive cruise performance evaluation method according to claim 1, characterized in that: The vehicle cut-in condition includes a self-vehicle cut-in sub-condition and a target vehicle cut-in sub-condition, the vehicle cut-out condition includes a self-vehicle cut-out sub-condition and a target vehicle cut-out sub-condition, and the following vehicle driving condition includes a single-target sub-condition and a multi-target sub-condition.

3. The adaptive cruise performance evaluation method according to any one of claims 1 to 2, characterized in that: The method further comprises: Acquiring vehicle interaction data of the vehicle to be tested when executing each driving condition; Based on the vehicle interaction data, the interaction logic of the vehicle when executing each driving condition is evaluated.

4. An adaptive cruise performance evaluation system, characterized in that: The method applied to any one of claims 1 to 3, wherein the system comprises: A driving condition setting module, used to set multiple driving conditions corresponding to the vehicle to be tested turning on the adaptive cruise function, and obtain the evaluation index corresponding to each driving condition; A test item creation module, used to create a set of test items corresponding to the vehicle to be tested according to a plurality of driving conditions and their corresponding evaluation indicators; A data acquisition module, used to acquire the vehicle data and status data corresponding to each driving condition in the set of items to be tested at the current time node according to a preset sorting rule; A data processing module, used to process the vehicle data and the state data according to the evaluation index corresponding to each driving condition, so as to obtain key feature data corresponding to the driving condition; A performance evaluation module is used to evaluate the adaptive cruise index performance corresponding to the driving condition according to the key feature data.

5. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of being executed on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 3 is implemented.

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