232 results about "Cruise control" patented technology

The invention discloses a car following control method and a related product. According to the scheme, multi-source data are acquired, and the multi-source data are fused to obtain a fusion result; based on the fusion result, performing multi-modal trajectory prediction on the driving behavior of the preceding vehicle to obtain a prediction result of the driving behavior of the preceding vehicle; the multi-modal trajectory prediction comprises longitudinal motion prediction and transverse motion prediction; quantifying a car following risk by using a multi-dimensional risk index to obtain a risk level; constructing a multi-target cost function based on the fusion result, the front vehicle driving behavior prediction result and a control vector, and solving the multi-target cost function by using a preset constraint condition to obtain an initial control parameter of the vehicle; and on the basis of the risk level, initial control parameters of the vehicle are adjusted, and target control parameters of the vehicle are obtained. Compared with the problem of response lag in adaptive cruise control in the prior art, the adaptive cruise control method has obvious advantages.

An unmanned aerial vehicle autonomous electric power facility inspection method based on three-dimensional semantic driving relates to the technical field of unmanned aerial vehicle cruise control, and comprises the following steps: constructing a three-dimensional semantic representation containing key components under a unified world coordinate system, and generating a three-dimensional semantic point cloud with component category labels in real time in combination with airborne visual perception; and the inspection requirements in the operation and maintenance regulation are analyzed into an ordered component-level task sequence, and on the basis, the unmanned aerial vehicle autonomously plans an observation pose and a local flight path according to the three-dimensional semantic distribution of the target component, so that the adaptive approaching and coverage of the key component are realized. According to the invention, operation and maintenance semantics can be precisely followed, fine-grained sensing of key parts is realized, an inspection path is enabled to be close to a concern point, environment adaptability is realized, the inspection efficiency is effectively improved, the cost is reduced, and the problems that current electric power facility unmanned aerial vehicle inspection depends on a preset mode, the operation and maintenance semantics are difficult to meet, and key part sensing and adaptability are lacked are solved. And the inspection tour effect is not good enough.

Systems, methods, and apparatus related to sensor data processing for a vehicle to improve operation when sunlight or other bright light enters a sensor of the vehicle. In one approach, adjustable filtering is configured for a sensor of a vehicle. In one example, an optical filter is positioned on the path of light that reaches an image sensor of a camera. For example, the filtering improves ability to stay in adaptive cruise control when driving into direct sunlight at sunset. The optical filters can have controllable properties such as polarization. In one example, a controller of the vehicle is configured to automatically adjust the properties of the optical filter to improve image quality to improve object recognition. In another example, a camera is configured with composite vision that uses sensors in different radiation spectrums (e.g., visible light, and infrared light). The composite vision can provide enhanced vision capability for an autonomous vehicle that is driving in the direction of the sun.

The invention relates to a vehicle adaptive cruise control method and device and a controller. The method comprises the steps that under the condition that a vehicle is in a vehicle self-adaptive cruise control mode, real-time sensing data of the vehicle and a planned driving track of the vehicle are acquired; utilizing the real-time sensing data and the planned driving track to obtain predicted energy consumption information of the vehicle for the planned driving track; acquiring endurance influence information of the vehicle according to the predicted energy consumption information; determining a target acceleration of the vehicle based on the endurance influence information of the vehicle and the dynamic driving performance optimization information of the vehicle, and generating a vehicle control instruction based on the target acceleration; the vehicle control instruction is used for indicating the vehicle to perform adaptive cruise control according to the vehicle control instruction. By adopting the method, the self-adaptive cruise control of the vehicle can be carried out in combination with the endurance influence of energy consumption instead of only focusing on safety, comfort and efficiency targets, and the precision of the self-adaptive cruise control of the vehicle can be improved through the mode.

Systems and methods are provided for learning a driving behavior during a cut-in cut-out event or other triggering event to create a profile that adjusts operation of the adaptive cruise control (ACC) component of the vehicle to mimic the preferences of the driver. The profile may be based on data collected during a previous cut-in cut-out event or other triggering event. The data may be transmitted to an adaptive cruise control system that uses the data as input to a machine learning model. Output of the machine learning model may update the profile for the driver that operates the vehicle in ACC during the cut-in cut-out event. When the vehicle is operating in ACC and an event is within a threshold value of the cut-in cut-out event occurs at a later time, the vehicle may apply rules defined in the profile.

The invention discloses an adaptive cruise function test method and device, electronic equipment, a medium and a product. The method comprises the following steps: in a pre-constructed test scene, acquiring surrounding environment information of a test vehicle to obtain environment sensing data; constructing a vehicle surrounding environment model according to the environment perception data; according to the vehicle surrounding environment model and a preset adaptive cruise control strategy, adaptive cruise control is carried out; acquiring operation data generated when adaptive cruise control is carried out in the test scene; and analyzing the operation data according to a preset performance index to obtain a test evaluation result for evaluating the performance of the adaptive cruise control system. The method can solve the problem that a traditional adaptive cruise test method is insufficient in test coverage in a complex dynamic scene.

The invention discloses a networked vehicle queue safe cruise method for coping with hybrid network attacks, the vehicle queue comprises a head vehicle and a following vehicle, the following vehicle collects the running state data of the vehicle, obtains the running state data of other vehicles through a communication network, continuously detects the state of the communication network, and sends the detected state to the vehicle queue. Detecting whether a network attack is currently suffered or not and the type of the suffered attack, and calculating the minimum characteristic value of the topological matrix in a normal communication state, a spoofing attack state or a replay attack state according to the identified attack type; and then solving the constructed linear matrix inequality which enables the vehicle closed-loop system to be stable to obtain a feedback gain, and generating a control input signal according to the feedback gain obtained by calculation to realize accurate control of the vehicle. The feedback gain is dynamically adjusted according to the real-time state of the vehicle, so that the safety cruise control of the vehicle queue system is more effectively realized.

The application relates to the technical field of vehicle control, in particular to a self-adaptive cruise control method, device and vehicle. The method comprises the following steps: acquiring state parameters related to a host vehicle and a preceding vehicle; acquiring a current collision time between the host vehicle and the preceding vehicle, and determining a variable adjustment coefficient based on the collision time; adjusting a sliding mode control parameter in a sliding mode control law according to the variable adjustment coefficient, and calculating a desired acceleration according to the state parameters; and setting a torque of an engine of the host vehicle and brake pressure according to the desired acceleration, so as to control the host vehicle to follow the preceding vehicle. Thus, the problem of poor comfort caused by an auxiliary driving control algorithm can be effectively solved.

The invention relates to the technical field of vehicle control, and discloses a self-adaptive cruise control method and system, a vehicle and a storage medium which are applied to a pure electric vehicle, and the method comprises the steps that according to driving state information of a front target vehicle and dynamic parameters of the vehicle, the target deceleration of the vehicle is determined in combination with a safe vehicle following distance model; when it is judged that the pure electric braking condition is not met based on the relation between the target deceleration and the braking force threshold value of the electric braking system and in combination with the real-time battery state of the vehicle, a cooperative braking mode is started; in the cooperative braking mode, the electric braking system is controlled to provide regenerative braking force, and a cooperative braking instruction is sent to the electronic stability control system, so that the electronic stability control system provides mechanical braking force for cooperative braking; the electronic stability control system further adjusts mechanical braking force distribution of all wheels of the vehicle based on the vehicle wheel speed and the vehicle body posture parameters so as to maintain stable running of the vehicle.

An automated cruise control system is disclosed. Sensors detect driving parameters associated with the ground vehicle as the ground vehicle maneuvers along a segment of the roadway. A ground vehicle control detector detects ground vehicle control inputs associated with an operation of the ground vehicle. The ground vehicle control inputs are generated from a longitudinal operation of the ground vehicle. A energy consumption cruise controller automatically adjusts the operation of the ground vehicle as the ground vehicle maneuvers along the segment of the roadway to maintain the operation of the ground vehicle within an operation threshold based on the detected driving parameters and ground vehicle control inputs. The operation threshold is the operation of the ground vehicle that decreases an amount of overall energy consumed by the ground vehicle and maintains a longitudinal speed of the ground vehicle within a longitudinal speed threshold.

The invention discloses a vehicle cruise control method, device and equipment and a storage medium, and the method comprises the steps: obtaining the driving information of a target vehicle in a vehicle lane and an adjacent lane, and the driving information comprises the steering lamp state, the driving track, the position, the speed and the acceleration of the target vehicle; judging whether the target vehicle has a lane changing intention or not based on the driving information; and if the lane changing intention exists, the current cruising speed of the vehicle is controlled to approach the speed of the target vehicle in advance. According to the method, the lane changing intention of the target vehicle can be recognized in advance in the high-speed lane changing scene, so that the vehicle can start gentle deceleration control earlier, deceleration fluctuation and braking abrupt feeling are remarkably reduced, and the control comfort, smoothness and driving safety of the self-adaptive cruise system under the high-speed working condition are effectively improved.

A driver assistance apparatus includes a front sensor installed in a vehicle and having a field of sensing in front of the vehicle and a controller configured to process data obtained by the front sensor, and the controller is configured to determine whether the vehicle is in a situation in which deceleration is required in response to the processing of the data of the front sensor when adaptive cruise control (ACC) is in an activated state and maintain a braking torque required for the deceleration so that the vehicle is not pushed during braking when the vehicle is in the situation in which the deceleration is required.

This invention relates to the field of intelligent commerce technology, and more particularly to an electromagnetic linkage-based vehicle cruise control system based on adaptive fuzzy control. The system includes: a control switch for receiving input commands from the driver, including commands to activate / deactivate cruise control, accelerate / decelerate, cancel, and resume cruise control; a central controller connected to both a vehicle speed sensor and the control switch, the central controller incorporating an adaptive fuzzy control algorithm to generate throttle control commands based on the deviation between the current vehicle speed and a set speed; a servo actuator electrically connected to the central controller; and a motor that receives commands from the central controller to drive a synchronous belt. This invention achieves automatic and precise throttle adjustment and stable cruise control in motor vehicles, solving the problems of driver fatigue and poor driving comfort caused by the need for continuous manual throttle control during long-distance driving.

This invention discloses an adaptive cruise control primary target selection method and apparatus, comprising: estimating the vehicle's trajectory based on its yaw rate; correcting the motion parameters of each target vehicle within a target range according to the trajectory; calculating the motion index of the target vehicle based on the corrected motion parameters; determining the driving state of the target vehicle by comparing the motion index with a corresponding index threshold; determining a representative driving state for the current scenario based on the driving states of all target vehicles; and determining the target vehicle with the closest relative distance to the vehicle among those that meet the corresponding driving state as the primary target, and outputting the primary target distance and primary target speed. This invention incorporates multiple variable factors, refines the calculation corrections under different scenarios, and improves the control accuracy and safety of the adaptive cruise control system.

An apparatus for driver assistance includes a controller detecting a preceding vehicle traveling in front of a host vehicle based on data output from at least one of a camera, a radar, and a light detection and ranging (LiDAR) and performing adaptive cruise control (ACC) maintaining a target inter-vehicle distance between the host vehicle and the preceding vehicle. The controller identifies whether the preceding vehicle is cutting out of a traveling lane according to movement of the preceding vehicle during the ACC, identify whether another lane to which the preceding vehicle is cutting in is a lane allowing the preceding vehicle to cut in in response to the preceding vehicle being cutting out of the traveling lane, and shorten the target inter-vehicle distance of the ACC in response to the another lane to which the preceding vehicle is cutting in being the lane allowing the preceding vehicle to cut in.

To make a vehicle speed follow a target speed when sailing travel is performed during cruise control.SOLUTION: The vehicle is capable of performing cruise control for controlling a vehicle speed to a target speed set by a driver. The cruise control can perform sailing traveling in which the vehicle travels by inertia. The vehicle ends the sailing travel when a preset first deceleration cannot be obtained when the sailing travel is executed during execution of the cruise control.SELECTED DRAWING: Figure 3

The invention discloses a winch positioning cruise control method, device and equipment, and relates to the field of data processing.The winch positioning cruise control method comprises the steps that when it is detected that the height of a winch exceeds a preset height threshold value, a measurement starting signal is sent to a visual recognition system; receiving the coupling height fed back; acquiring the height and speed of the winch at the target moment; and determining the final stop height of the winch according to the coupling height, the height of the winch, the speed, the reference stop height and the data transmission delay. Accumulative errors are eliminated through vision measurement, and system delay is overcome through a prediction compensation algorithm. By means of the method, one-time alignment can be achieved, repeated adjustment caused by inaccurate positions is avoided, the operation time of tripping of each stand column is greatly shortened, and the well drilling efficiency is improved. Misoperation is avoided through a condition triggering mechanism; the equipment collision risk is reduced through high-precision positioning; the whole process is automatically completed by the system, and the possibility of manual misoperation is reduced.

The application discloses a kind of multi-modal PI parameter regulation and control heavy commercial vehicle constant speed cruise control method, comprising: step one: based on vehicle signal, judge cruise state;Step two: obtain vehicle driving parameter, the vehicle driving parameter includes current speed, acceleration, current road slope;Step three: based on vehicle driving parameter, calculate constant speed cruise target torque;Step four: to constant speed cruise target torque is sequentially carried out threshold filtering, based on target speed and current speed difference dynamic adjustment first-order filtering.Step five: the target torque of vehicle control device calculated;Step six: according to target torque output control.Through three key dimensions of speed, acceleration, slope respectively design multiple PI parameters, so that control system can accurately match the control demand of vehicle in different dynamics state, significantly improve the control precision and stability of cruise speed, effectively suppresses speed fluctuation.

A vehicular control system includes a sensor disposed at a vehicle and, based on processing of captured sensor data, determines a leading vehicle within a traffic lane the equipped vehicle is currently traveling along, and controls the equipped vehicle to travel at a following speed that approximates speed of the leading vehicle with at least an initial following distance between the equipped vehicle and the leading vehicle. The vehicular control system receives an updated following distance different from the initial following distance and determines a period of time based on the initial following distance, the updated following distance, and the following speed. The system determines a velocity profile based on the determined period of time and controls acceleration of the equipped vehicle based on the velocity profile to establish the updated following distance between the equipped vehicle and the leading vehicle.

The invention relates to a speed control system (100) for a vehicle and a method for operating such a speed control system (100).The speed control system (100) comprises: a sensor system (101) designed and configured to acquire sensor data SDAT from the vehicle's surroundings and, based on the acquired sensor data SDAT, to determine a currently usable lane width FSB ahead of the lane currently used by the vehicle; an interface (102) by means of which a potentially usable lane width PNFSB can be provided for the lane ahead of the vehicle, with FSB ≤ PNFSB; an evaluation unit (103) designed and configured to calculate a difference D = PNFSB - FSB between the potentially usable lane width PNFSB and the determined currently usable lane width FSB, a first risk value RISK1 based on the difference D, and a current target speed v based on the risk value RISK1. SOLLto determine the longitudinal speed; wherein the cruise control system (100) is designed and configured to reduce the speed of the vehicle to the target speed v SOLL to regulate.

This utility model discloses a receiver-type automotive fuel level sensor, including an electrical box, a signal output line, and a flange. A probe rod is installed at the bottom of the electrical box, and the flange is installed on the outside of the probe rod. A monitoring and control mechanism is provided inside the probe rod, and a gauging groove is provided inside the probe rod. A float is slidably connected to the inner wall of the gauging groove. The probe rod has an oil inlet and an exhaust port. The gauging groove is connected to the external space through the oil inlet and the exhaust port. The monitoring and control mechanism includes a combined sensor, a PLC control unit, and a telescopic rod. By dynamically adjusting the opening of the exhaust port through the telescopic rod, large fluctuations in the fuel level in the gauging groove are suppressed, and the pressure in the internal space of the gauging groove above the float is increased, making the float more stable, reducing the frequency and amplitude of shaking, and reducing the displacement signal fluctuation caused by the inertia of the float, so that the fuel level signal transmitted to the instrument is more stable.

The present application relates to the technical field of deep peak regulation of thermal power generating units, and more particularly to a thermal power generating unit peak regulation load intelligent cruise control method based on big data analysis, which is used to solve the problem that the prior art cannot adaptively adjust the output of the thermal power generating unit based on real-time monitoring, cannot select the optimal action according to real-time data, and reduces the stability, economy and operation efficiency of the power grid; the present application uses a reinforcement learning algorithm to optimize the peak regulation control strategy, adaptively adjusts the output of the thermal power generating unit based on real-time monitoring, balances system safety and economy by comprehensively considering the frequency stability, output constraint, economy and unit state to design a reward function, the experience replay and target network mechanism of the DQN algorithm improve the learning efficiency, realize fast convergence and continuous optimization, and after training, the system selects the optimal action according to real-time data, which significantly improves the stability, economy and operation efficiency of the power grid.

This invention discloses a method and system for autonomous decision-making control of coal-fired power units under all operating conditions. The method includes: real-time acquisition and intelligent fusion of multi-source heterogeneous data; identification of monitoring blind spots and execution of blind spot data completion or validity verification; construction of an intelligent control system architecture covering all operating conditions of the unit, decentralizing the functions of the plant-level monitoring information system to the production control area; acquisition of electromagnetic radiation interference characteristic parameters and environmental interference characteristic parameters, and implementation of electromagnetic radiation interference suppression or environmental interference correction based on judgment conditions; fusion of a large-scale artificial intelligence model with a dynamic feature decoupling network and a decision knowledge graph to form a quasi-expert fuzzy decision-making system, executing an integrated control strategy of intelligent control, cruise control, and monitoring; and construction of a high-fidelity digital twin parallel system for offline verification and iterative optimization of the control strategy. This invention achieves autonomous decision-making and near-zero human intervention for coal-fired power units under all operating conditions, improving operational safety and economy.

The present application relates to a kind of adaptive cruise control methods, comprising: the speed of at least two front vehicles in the same lane with vehicle and the speed of vehicle are collected acquisition step;Two front vehicles speed keeps stable state time is calculated, and whether two front vehicles speed keeps stable state time is greater than or equal to the judgment step of first set time, wherein, speed keeps stable state refers to speed is substantially maintained at a certain speed, speed deviation value is less than first threshold value;And in the case where two front vehicles speed keeps stable state time is greater than or equal to first set time, the distance of adaptive cruise system preset to vehicle is corrected at certain time interval, and it is corrected as correction distance, so that the distance between vehicle and adjacent front vehicle can be controlled as correction distance correction step.The present application also relates to a kind of adaptive cruise control system.

A maneuver-predictive speed profile adaptation system for behavior-based automated cruise control in a host vehicle comprises sensors and actuators connected to a controller. The controller executes a maneuver-predictive speed profile adaptation (MPSPA) application that detects static and dynamic information about the host vehicle and its environment. The MPSPA application processes sensor information, performing feature extraction, synchronization, normalization, generating a probabilistic path prediction, and detecting driver intent.The MPSA application generates a control command to the actuators to selectively change at least one longitudinal speed of the host vehicle in order to approximate historical preferences of the driver regarding lateral and longitudinal speeds, yaw, and forces observed by the driver while the host vehicle is driven in a fully autonomous and / or semi-autonomous mode.

The vehicle includes at least one sensor in communication with the controller. The controller includes a ranging module configured to determine an inter-vehicle distance between the vehicle and a leading vehicle traveling in front of the vehicle. The controller further comprises an inter-vehicle distance learning module and an adaptive cruise control module. The inter-vehicle distance learning module is configured to learn a personalized inter-vehicle distance set when the adaptive cruise control module is not engaged. The adaptive cruise control module is configured to maintain the vehicle at a personalized inter-vehicle distance from the leading vehicle when the active cruise control module is engaged.

A vehicular control system of an equipped vehicle determines presence of a leading vehicle in front of the equipped vehicle and within a traffic lane along which the equipped vehicle is traveling, and determines distance between the equipped vehicle and the leading vehicle. The vehicular control system, responsive to (i) determining that the leading vehicle is stopped in front of the equipped vehicle or traveling at speed that is less than a threshold speed and (ii) the determined distance being greater than a threshold distance, determines a velocity profile. With the equipped vehicle at a distance from the leading vehicle that is greater than the threshold distance, the system controls speed of the equipped vehicle based on the determined velocity profile, and determines a distance profile based on (a) speed of the equipped vehicle and (b) the determined distance between the equipped vehicle and the leading vehicle.

The invention relates to a vehicle cruise control method and device, a storage medium, a controller and a vehicle. According to the technical scheme, resistance information of vehicle running is obtained at first, the resistance information is converted into feed-forward torque of a motor, then a cruise mode of the vehicle is determined, compensation torque of the motor in the cruise mode is determined, and the vehicle cruise control method comprises the steps of obtaining the vehicle running resistance information and converting the vehicle running resistance information into feed-forward torque of the motor; according to the feedforward torque and the compensation torque of the motor, the actual torque of the motor is determined, and finally cruise control is conducted on the vehicle according to the actual torque of the motor. Therefore, the cruise control accuracy of the vehicle can be improved.

The invention belongs to the technical field of vehicle control, and provides a full-working-condition self-adaptive cruise control method and system for an intelligent networked vehicle, and the method comprises the steps: obtaining the real-time operation data of the intelligent networked vehicle and the information of a target object around the vehicle; based on the obtained real-time operation data, the current driving working condition of the vehicle is recognized; and driving the vehicle to automatically accelerate and decelerate according to the identified current driving working condition of the vehicle and the obtained information of the target objects around the vehicle, and completing all-working-condition self-adaptive cruise control of the intelligent network connection vehicle.

A vehicle contains at least one sensor communicating with a controller. The controller contains a distance measurement module configured to determine a following distance between the vehicle and a vehicle traveling ahead. The controller also contains a following distance learning module and an adaptive cruise control module. The following distance learning module is configured to learn a set of personalized following distances when the adaptive cruise control module is not engaged. The adaptive cruise control module is configured to maintain the vehicle at a personalized following distance from the vehicle ahead when the adaptive cruise control module is engaged.