Driving Intent Sharing via V2X for Dead-Zone Path Planning
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Solution Overview
Problem
Current systems fail to effectively share driving intent between autonomous and manually driven vehicles, leading to inadequate consideration of driver actions and surrounding vehicle maneuvers, particularly in areas where on-board sensors have dead zones.
Innovation Solution
A method and apparatus that acquire vehicle control and driver behavior information to create a global path, estimate driving intent, and generate a cooperative maneuvering message, which is transmitted to surrounding vehicles via V2X communication, allowing for the creation of a local path that considers surrounding vehicle intentions and prevents collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cooperative sensing is implemented using surrounding vehicles and infra sensors to recognize dead zone situations, then the recognition capability of invisible areas is improved, but the system complexity and communication requirements increase
Solution Approach 1:
The patent uses V2X communication as an intermediary to transmit driving intent information between vehicles and infrastructure. Instead of complex cooperative sensing systems, the invention employs a communication-based approach where driving intent messages are exchanged, allowing vehicles to infer situations in dead zones through communicated intent data rather than direct sensor detection
Solution Approach 2:
The patent replaces the mechanical/sensor-based cooperative sensing system with an information-based communication system. Instead of using cameras, Lidar, and radar to physically detect situations in dead zones, the system substitutes this with V2X communication that transmits driving intent information, thereby solving the dead zone recognition problem with a less complex communication infrastructure
2Reliability
If driving intent sharing is implemented between autonomous and manually driven vehicles, then collision avoidance capability is improved, but the ability to predict and consider driver intent in manually driven vehicles deteriorates
Solution Approach 1:
The patent applies preliminary action by having manually driven vehicles transmit their driving intent information to surrounding vehicles before actual maneuvers are executed. This allows other vehicles to predict and prepare for upcoming actions, enabling collision avoidance while maintaining the manual driving mode. The driving intent is communicated in advance, compensating for the lack of direct driver intent access in manually driven vehicles
Solution Approach 2:
The patent implements feedback mechanisms where driving intent information is continuously transmitted and received between vehicles. Manually driven vehicles receive feedback about surrounding vehicles' driving intent, and their own intent is transmitted to others, creating a closed-loop information system that enables mutual awareness and collision avoidance without requiring autonomous control
3Reliability
If local path planning is created considering driving intent of surrounding vehicles, then route safety is improved, but the processing time and computational requirements increase
Solution Approach 1:
The patent uses preliminary action by pre-transmitting driving intent information before local path planning is executed. Surrounding vehicles' driving intent is communicated in advance, allowing the planning vehicle to incorporate this information into local path calculations without requiring real-time processing of complex maneuver data, thereby reducing computational time while maintaining safety
Solution Approach 2:
The patent extracts only the essential driving intent information needed for safe local path planning, rather than processing complete maneuver data. By taking out and transmitting only critical intent parameters (such as intended maneuver type and timing), the system reduces the computational burden of local path planning while maintaining sufficient safety margins
Data Source
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AI summary
The present disclosure relates to a method and apparatus for sharing driving intent between autonomous and manually driven vehicles. The method of sharing driving intent between autonomous and manually driven vehicles according to an embodiment of the present disclosure includes: (a) acquiring vehicle control information of a vehicle by a driver and driver behavior information of the driver, and creating a global path of the vehicle on the basis of input by the driver; (b) creating driving intent information of the driver about the vehicle on the basis of the global path, the vehicle control information, and the driver behavior information; (c) creating a local path of the vehicle on the basis of the driving intent information and driving intent information about a surrounding vehicle received from the surrounding vehicle; and (d) outputting the local path of the vehicle.