Driving Intent Sharing via V2X for Manual and Autonomous Vehicles
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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, enabling manual mode vehicles to predict and avoid collisions by creating an optimal local path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If an autonomous vehicle is driven in a manual mode or a non-autonomous vehicle is driven, then the driver directly controls the vehicle, but there is a problem that driving content of the driver or a surrounding vehicle cannot be considered
Solution Approach 1:
The patent introduces an intermediary system that includes a driving intent recognition module and a cooperative maneuvering message generation module. This intermediary processes driver inputs and vehicle state information to infer driving intent, then transmits this intent information to surrounding vehicles via V2X communication. This resolves the contradiction by adding an information processing layer that captures driving content without interfering with direct driver control.
2Reliability
If cooperative sensing is implemented to recognize dead zone situations, then surrounding situation awareness is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple sensing approaches by combining on-board sensors with V2X communication infrastructure. Instead of adding complex sensor arrays to vehicles, the system utilizes existing V2X communication networks to share sensing data from surrounding vehicles and infrastructure sensors. This combining approach improves surrounding situation awareness while avoiding the complexity of duplicating sensor systems in each vehicle.
Solution Approach 2:
The V2X communication system acts as an intermediary that facilitates information exchange between vehicles and infrastructure. Rather than each vehicle needing complex sensors to detect dead zone situations, the V2X intermediary collects and distributes sensing information from vehicles with sensors, making this information available to all participants without requiring each to have complete sensing capabilities.
3Reliability
If driving intent information is shared between vehicles, then collision avoidance capability is improved, but information processing complexity increases
Solution Approach 1:
The patent extracts only the essential driving intent information from complex vehicle operation data. The driving intent recognition module identifies key intent parameters (such as desired trajectory, speed changes, maneuver type) and transmits only these extracted essential elements via V2X communication, rather than sharing complete sensor data or control signals. This extraction approach improves collision avoidance while reducing information processing complexity.
Solution Approach 2:
The system transforms complex driving behavior data into standardized intent parameters. By converting diverse driver inputs, vehicle states, and sensor information into a unified set of intent parameters (position, velocity, acceleration, maneuver type), the system enables efficient information processing and comparison across different vehicles without handling the full complexity of raw operational data.
Data Source
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.