Driving controller for game control based on lamp language perception of steering lamps of surrounding vehicles
By identifying and processing the turn signal information of surrounding vehicles and combining it with a game-mode driving controller, the system solves the shortcomings of existing technologies in predicting the trajectories of surrounding vehicles at traffic intersections, achieving faster and safer passing through intersections and overtaking.
Patent Information
- Application Number
- CN202423038998.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-10
- Publication Date
- 2025-09-19
- Estimated Expiration
- 2034-12-10
AI Technical Summary
Existing intelligent driving controllers have shortcomings when predicting the driving trajectories of surrounding vehicles at traffic intersections, making it difficult to find the most efficient trajectory through the intersection. In particular, when predicting the driving trajectories of surrounding vehicles at traffic intersections, there is a lack of effective recognition and processing of surrounding vehicle turn signal information.
By adding vehicle camera modules, controller modules and intelligent driving control modules, especially the perception unit, scenario analysis unit and decision-making planning unit, the turn signal information of surrounding vehicles can be identified and processed, and trajectory planning can be performed in combination with the game model to improve the prediction success rate.
Under different working conditions, the autonomous vehicle's intelligent driving module can plan trajectories more accurately, improve the safety and speed of passing intersections, and complete overtaking operations faster and safer.
Smart Images
Figure CN223355572U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to the technical field of vehicle driving controllers, and in particular to a driving controller that performs game control based on the perception of turn signal language of surrounding vehicles. Background Art
[0002] Intelligent driving, also known as autonomous driving or unmanned driving, refers to a driving method that uses advanced sensors, controllers, actuators and other equipment and systems to integrate vehicle control, information communication, the Internet, big data, artificial intelligence and other technologies to enable cars to have intelligent environmental perception, path planning, autonomous decision-making and automatic driving functions.
[0003] Intelligent driving technology is generally divided into different levels. According to the standards of the Society of Automotive Engineers (SAE International), autonomous driving technology is divided into the following levels:
[0004] L0: No Automation - The vehicle is fully controlled by the driver and has no autonomous driving capabilities.
[0005] Level 1: Driving Assistance - The vehicle has a single automated driving function, such as adaptive cruise control (ACC) or lane keeping assist (LKA), but the driver must be in control of the vehicle at all times.
[0006] L2: Partial Automation - The vehicle is able to control steering and acceleration and deceleration, but the driver must monitor the driving environment at all times and be ready to take over.
[0007] Level 3: Conditional Automation - The vehicle is capable of fully autonomous driving under certain conditions, but the driver must be able to take over control when the system requests it.
[0008] L4: High Automation - The vehicle is capable of fully autonomous driving in most environments and conditions without driver intervention, but may require driver intervention in limited circumstances.
[0009] L5: Full Automation - The vehicle is fully autonomous in all environments and conditions, without the need for driver intervention.
[0010] Intelligent driving domain controllers fuse sensor data from cameras, ultrasonic sensors, millimeter-wave radars, lidars, GPS / inertial navigation units (IMUs), and maps for perception and decision-making. As a more highly integrated ECU, the domain controller's predecessor is the electronic control unit, first introduced by automakers in mass-produced vehicles in the 1980s. This marked the first electronic transformation of mechanical component functions at the vehicle level, from the engine, airbags, anti-lock brakes, to the steering system. Over the past few years, distributed ECUs have become the core hardware units for ADAS assisted driving functions. Most of these ECUs perform specific functions, such as forward warning, braking, surround view, and automated parking. As L2 / L2+ functions become mainstream in the market, these decentralized system architectures are insufficient to meet the more complex system requirements for higher levels of autonomous driving. Simultaneously, the emergence of high-performance in-vehicle computing chips is driving the integration of multiple functions into a single domain controller.
[0011] Advanced intelligent driving controllers are usually divided into the following key parts:
[0012] Perception module: Responsible for collecting information about the vehicle's surrounding environment, including using sensors such as cameras, lidar, millimeter-wave radar, etc. to collect data, and processing and analyzing it to identify road conditions, obstacle locations, pedestrian dynamics, etc.
[0013] Positioning module: Determine the precise location of the vehicle, usually using GPS, IMU, visual positioning algorithm and high-precision map matching.
[0014] Decision-making module: Equivalent to the "brain" of the autonomous driving system, it makes corresponding decisions and plans based on the information provided by the perception module, including behavioral decisions and path planning.
[0015] Planning module: Under certain constraints, it optimizes the vehicle's driving path and speed, including task planning, behavior planning, and action planning.
[0016] Control module: directly connects to the vehicle's control interface and converts the planned trajectory into control signals for the vehicle's throttle, brakes, steering wheel, etc. to execute the predetermined trajectory.
[0017] V2X module: Vehicle-to-everything (V2X) wireless communication technology enables vehicles to communicate with other vehicles, pedestrians, traffic infrastructure, and networks to obtain a wider range of environmental information.
[0018] The perception module in the controller currently senses the movement trajectory of surrounding vehicles, makes decisions and plans paths based on the currently executed driving task, and the control module controls the vehicle movement.
[0019] Currently, intelligent driving controllers are mostly used to identify the turn signals of surrounding vehicles in emergency situations to avoid braking in time and collisions caused by nearby vehicles changing lanes. However, there is still a lack of ability to predict the driving trajectories of surrounding vehicles at traffic intersections and find the most efficient trajectory for the vehicle to pass through the intersection. Utility Model Content
[0020] The technical problem to be solved by the present invention is: in order to solve the technical problems in the prior art, the present invention provides a driving controller that performs game control based on the perception of the turn signal language of surrounding vehicles.
[0021] The technical solution adopted by the present invention to solve its technical problems is: a driving controller for game control based on the perception of the turn signal language of surrounding vehicles, including a vehicle camera module, a controller module and an intelligent driving control module, the controller module including a perception unit, a scenario analysis unit and a decision-making planning unit, the vehicle camera module identifies the surrounding environment of the vehicle, and transmits this information to the perception unit through an interface, the perception unit transmits the road, surrounding vehicles and the vehicle's turn signal on information to the scenario analysis unit, the scenario analysis unit determines the working condition the vehicle should be in, and sends the information to the decision-making planning unit, the decision-making planning unit receives the surrounding vehicle movement information from the perception unit, gives the required driving trajectory of the vehicle, sends it to the intelligent driving control module, converts the trajectory into a control command and outputs it to the execution unit on the vehicle responsible for vehicle movement, and controls the vehicle to move.
[0022] This driving controller, which uses game-based control based on the perception of surrounding vehicle turn signal signals, compared to traditional intelligent driving controllers, adds a perception unit that processes external vehicle turn signal information and outputs it to a scenario analysis unit. This enables the vehicle's intelligent driving module to make more precise trajectory planning strategies under different operating conditions. The inclusion of a game-based mode improves the success rate of predicting surrounding vehicle trajectories through intersections, enabling faster and safer intersection passages. It also improves the success rate of predicting surrounding vehicle trajectories during overtaking, enabling faster and safer overtaking.
[0023] Furthermore, it also includes an environment position module, which transmits the movement information of the vehicle to the scenario analysis unit.
[0024] Furthermore, when the scenario analysis unit analyzes that the vehicle should pass through an intersection, and the left turn signal of the other vehicle is not on or the right turn signal is not on, and the left turn signal of the vehicle on the right is not on or the right turn signal is not on, the output is to pass through the intersection at a normal speed, and the vehicle plans a straight trajectory to pass through the intersection.
[0025] Furthermore, when the scenario analysis unit analyzes that the vehicle should pass through an intersection, the other vehicle's left turn signal is not on or the right turn signal is on, and the vehicle on the right has its left turn signal not on or the right turn signal is not on, the output is to pass through the intersection at a normal speed, and the vehicle plans a straight trajectory to pass through the intersection.
[0026] Furthermore, when the scenario analysis unit analyzes that the vehicle should pass through the intersection, the other vehicle's left turn signal is on or the right turn signal is not on, and the right vehicle's left turn signal is not on or the right turn signal is not on, the output game is that the left-turning vehicle passes through the intersection, and the vehicle planning game is for the left-turning vehicle trajectory.
[0027] Furthermore, when the scenario analysis unit analyzes that the vehicle should pass through the intersection, the left turn signal of the other vehicle is not on or the right turn signal is not on, and the left turn signal of the vehicle on the right is not on or the right turn signal is on, the output game is that the right-turning vehicle passes through the intersection, and the vehicle planning game is for the right-turning vehicle trajectory.
[0028] Furthermore, when the scenario analysis unit analyzes that the vehicle should be in an overtaking condition, and the left turn signal of the vehicle in the lane ahead is on or the right turn signal is not on, the output is to accelerate to overtake in the lane ahead, the vehicle's planned left lane change to overtake is canceled, and the vehicle plans a straight trajectory to approach the vehicle ahead to overtake.
[0029] Furthermore, when the scenario analysis unit analyzes that the vehicle should be in an overtaking condition, and the left turn signal of the vehicle in the lane ahead is not on or the right turn signal is not on, the output is left lane acceleration to overtake, the vehicle plans to change lanes to overtake, and the vehicle plans a left lane change trajectory to approach the vehicle ahead to overtake.
[0030] Furthermore, when the scenario analysis unit analyzes that the vehicle should be in an overtaking condition, and the left turn signal of the vehicle in the lane ahead is not on or the right turn signal is on, the output is to accelerate to overtake in the lane ahead, the vehicle's planned left lane change to overtake is canceled, and the vehicle plans a straight trajectory to approach the vehicle ahead to overtake.
[0031] A vehicle includes the above-mentioned driving controller that performs game control based on the perception of turn signal language of surrounding vehicles.
[0032] The beneficial effects of the present invention are:
[0033] Compared with traditional intelligent driving controllers, the perception unit adds processing of external vehicle turn signal information and outputs it to the scenario analysis unit, enabling the vehicle's intelligent driving module to make more precise trajectory planning strategies under different working conditions. In addition, a game mode is added to improve the success rate of predicting the trajectories of surrounding vehicles when passing through intersections, thereby passing through intersections faster and safer. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0035] Figure 1 It is a schematic diagram of the overall structure of the driving controller in the present invention that performs game control based on the perception of the turn signal language of surrounding vehicles.
[0036] Figure 2 It is a schematic diagram showing a vehicle trajectory in a working condition in the present invention.
[0037] Figure 3 It is a schematic diagram showing the vehicle trajectory of the second working condition in the present invention.
[0038] Figure 4 It is a schematic diagram showing the vehicle trajectory of working condition three in the present invention.
[0039] Figure 5 It is a schematic diagram showing the vehicle trajectory of working condition 4 in the present invention.
[0040] Figure 6 It is a schematic diagram showing the vehicle trajectory of working condition five in the present invention.
[0041] Figure 7 It is a schematic diagram showing the vehicle trajectory of working condition six in the present invention.
[0042] Figure 8 It is a schematic diagram showing the vehicle trajectory of working condition seven in the present invention.
[0043] In the figure: 1. Vehicle camera module; 2. Environmental location module; 3. Controller module; 31. Perception unit; 32. Scenario analysis unit; 33. Decision-making and planning unit; 4. Intelligent driving control module. DETAILED DESCRIPTION
[0044] The present invention will now be described in further detail with reference to the accompanying drawings, which are simplified schematic diagrams that illustrate the basic structure of the present invention in a schematic manner.
[0045] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, features defined as "first" or "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, "multiple" means two or more. In the description of this utility model, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; mechanical connections, electrical connections; direct connections, indirect connections through an intermediate medium, and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in this utility model based on the specific circumstances.
[0046] The utility model discloses a driving controller which performs game control based on the perception of the turn signal language of surrounding vehicles.
[0047] Reference Figure 1 A driving controller for game control based on the perception of surrounding vehicle turn signal language includes a vehicle camera module 1, an environmental position module 2, a controller module 3 and an intelligent driving control module 4. The controller module 3 includes a perception unit 31, a scenario analysis unit 32 and a decision-making and planning unit 33. The vehicle camera module 1 identifies the vehicle's surrounding environment and transmits this information to the perception unit 31 through an interface. The perception unit 31 transmits information about the road, surrounding vehicles and the vehicle's turn signal on to the scenario analysis unit 32. The environmental position module 2 transmits the vehicle's motion information to the scenario analysis unit 32. After the scenario analysis unit 32 determines the working condition the vehicle should be in, it sends the information to the decision-making and planning unit 33. After receiving the surrounding vehicle motion information from the perception unit 31, the decision-making and planning unit 33 gives the required driving trajectory of the vehicle and sends it to the intelligent driving control module 4, which converts the trajectory into a control command and outputs it to the execution unit on the vehicle responsible for vehicle motion to control the vehicle to move.
[0048] Compared to traditional intelligent driving controllers, the perception unit 31 processes external vehicle turn signal information and outputs it to the scenario analysis unit 32, enabling the vehicle's intelligent driving module to make more precise trajectory planning strategies under different operating conditions. A game-playing mode is also incorporated to improve the success rate of predicting the trajectories of surrounding vehicles at intersections, enabling faster and safer intersections. This also improves the success rate of predicting the trajectories of surrounding vehicles during overtaking, allowing for faster and safer overtaking.
[0049] Working condition 1: Reference Figure 2 When the scenario analysis unit 32 analyzes that the vehicle should pass through the intersection, and the left turn signal of the other vehicle is not on or the right turn signal is not on, and the left turn signal of the right vehicle is not on or the right turn signal is not on, the output is to pass through the intersection at a normal speed, and the vehicle plans a straight trajectory to pass through the intersection.
[0050] Working condition 2: reference Figure 3 When the scenario analysis unit 32 analyzes that the vehicle should pass through the intersection, the left turn signal of the other vehicle is not on or the right turn signal is on, and the left turn signal of the right vehicle is not on or the right turn signal is not on, the normal speed is output to pass through the intersection, and the vehicle plans a straight trajectory to pass through the intersection.
[0051] Working condition three: reference Figure 4 When the scenario analysis unit 32 analyzes that the vehicle should pass through the intersection, the left turn signal of the other vehicle is on or the right turn signal is not on, and the left turn signal of the right vehicle is not on or the right turn signal is not on, the output game is that the left-turning vehicle passes through the intersection, and the vehicle planning game is that the left-turning vehicle trajectory.
[0052] Working condition 4: reference Figure 5 When the scenario analysis unit 32 analyzes that the vehicle should pass through the intersection, the left turn signal of the other vehicle is not on or the right turn signal is not on, and the left turn signal of the right vehicle is not on or the right turn signal is on, the output game is that the right-turning vehicle passes through the intersection, and the vehicle planning game is a trajectory of the right-turning vehicle.
[0053] Working condition 5: reference Figure 6 When the scenario analysis unit 32 determines that the vehicle is in an overtaking situation and the vehicle ahead in the same lane has its left turn signal on or its right turn signal off, it outputs an "accelerate in this lane" overtaking signal. The vehicle's planned left lane change to overtake is canceled, and the vehicle plans a straight trajectory to approach the vehicle ahead to overtake. The green trajectory at the bottom of the figure represents the trajectory planned for this situation.
[0054] Working condition six: reference Figure 7 When the scenario analysis unit 32 analyzes that the vehicle should be in an overtaking condition, and the left turn signal of the vehicle in the lane ahead is not on or the right turn signal is not on, the output is left lane acceleration to overtake, the vehicle plans to change lanes to the left to overtake, and the vehicle plans a left lane change trajectory to approach the vehicle ahead to overtake.
[0055] Working condition seven: reference Figure 8 When the scenario analysis unit 32 determines that the vehicle is in an overtaking situation and the vehicle ahead in the same lane has its left turn signal off or its right turn signal on, it outputs an acceleration signal for overtaking in the same lane. The vehicle's planned left lane change to overtake is canceled, and the vehicle plans a straight trajectory to approach the vehicle ahead for overtaking. The green trajectory at the bottom of the figure represents the trajectory planned for this situation.
[0056] A vehicle includes the above-mentioned driving controller that performs game control based on the perception of turn signal language of surrounding vehicles.
[0057] Based on the above-mentioned ideal embodiment of the present invention, and in accordance with the above description, relevant personnel can make various changes and modifications without departing from the technical scope of the present invention. The technical scope of the present invention is not limited to the content of the specification, but must be determined according to the scope of the claims.
Claims
1. A driving controller that performs game control based on the perception of surrounding vehicle turn signal signals, characterized in that: The invention comprises a vehicle camera module (1), a controller module (3) and an intelligent driving control module (4), wherein the controller module (3) comprises a perception unit (31), a scenario analysis unit (32) and a decision planning unit (33), wherein the vehicle camera module (1) identifies the surrounding environment of the vehicle and transmits the information to the perception unit (31) through an interface, wherein the perception unit (31) transmits information about the road, surrounding vehicles and the vehicle's turn signal on to the scenario analysis unit (32), wherein the scenario analysis unit (32) determines the working condition that the vehicle should be in and sends the information to the decision planning unit (33), wherein the decision planning unit (33) receives the surrounding vehicle motion information from the perception unit (31), gives the required driving trajectory of the vehicle and sends it to the intelligent driving control module (4), converts the trajectory into a control command and outputs it to the execution unit on the vehicle responsible for vehicle motion, thereby controlling the vehicle to move.
2. The driving controller for game control based on the perception of surrounding vehicle turn signal signals according to claim 1, characterized in that: The system also includes an environment position module (2), which transmits the motion information of the vehicle to the situation analysis unit (32).
3. The driving controller for game control based on the perception of surrounding vehicle turn signal signals according to claim 2, characterized in that: When the scenario analysis unit (32) analyzes that the vehicle should pass through the intersection, and the left turn signal of the other vehicle is not on or the right turn signal is not on, and the left turn signal of the right vehicle is not on or the right turn signal is not on, the output is to pass through the intersection at a normal speed, and the vehicle plans a straight trajectory to pass through the intersection.
4. The driving controller for game control based on the perception of surrounding vehicle turn signal signals according to claim 2, characterized in that: When the scenario analysis unit (32) analyzes that the vehicle should pass through the intersection, the left turn signal of the other vehicle is not on or the right turn signal is on, and the left turn signal of the right vehicle is not on or the right turn signal is not on, the normal speed is output to pass through the intersection, and the vehicle plans a straight trajectory to pass through the intersection.
5. The driving controller for game control based on the perception of surrounding vehicle turn signal signals as claimed in claim 2, characterized in that: When the scenario analysis unit (32) analyzes that the vehicle should pass through the intersection, the left turn signal of the other vehicle is on or the right turn signal is not on, and the left turn signal of the right vehicle is not on or the right turn signal is not on, the game output is that the left-turning vehicle passes through the intersection, and the vehicle planning game trajectory of the left-turning vehicle is output.
6. The driving controller for game control based on the perception of surrounding vehicle turn signal signals as claimed in claim 2, characterized in that: When the scenario analysis unit (32) analyzes that the vehicle should pass through the intersection, the left turn signal of the other vehicle is not on or the right turn signal is not on, and the left turn signal of the right vehicle is not on or the right turn signal is on, the game output is that the right-turning vehicle passes through the intersection, and the vehicle planning game right-turning vehicle trajectory.
7. The driving controller for game control based on the perception of surrounding vehicle turn signal signals as claimed in claim 2, characterized in that: When the scenario analysis unit (32) analyzes that the vehicle should be in an overtaking condition, and the left turn signal of the vehicle in the lane ahead is on or the right turn signal is not on, the vehicle outputs acceleration to overtake in the lane ahead, the vehicle's planned left lane change to overtake is canceled, and the vehicle plans a straight trajectory to approach the vehicle ahead to overtake.
8. The driving controller for game control based on the perception of surrounding vehicle turn signal signals as claimed in claim 2, characterized in that: When the scenario analysis unit (32) analyzes that the vehicle should be in an overtaking condition, and the left turn signal of the vehicle in the lane ahead is not on or the right turn signal is not on, the output is left lane acceleration for overtaking, the vehicle plans to change lanes left for overtaking, and the vehicle plans a left lane change trajectory to approach the vehicle ahead for overtaking.
9. The driving controller for game control based on the perception of surrounding vehicle turn signal signals as claimed in claim 2, characterized in that: When the scenario analysis unit (32) analyzes that the vehicle should be in an overtaking condition, and the left turn signal of the vehicle in the lane ahead is not on or the right turn signal is on, the vehicle outputs acceleration to overtake in the lane ahead, the vehicle's planned left lane change to overtake is canceled, and the vehicle plans a straight trajectory to approach the vehicle ahead to overtake.
10. A vehicle, characterized in that: A driving controller comprising the game control based on the perception of the turn signal language of surrounding vehicles as described in any one of claims 1-9.