Rear Display Action Planning for Autonomous Vehicle Lane Stops
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Solution Overview
Problem
Current autonomous driving vehicle systems lack effective methods to present appropriate information to traffic participants around the vehicle, particularly considering the vehicle's current lane location, which can lead to inefficiencies in communication and safety.
Innovation Solution
An autonomous driving vehicle information presentation device that acquires external environment information, including traffic congestion and vehicle states, to predict stop positions and generate action plans, then presents this information to following vehicles through a rear display unit, taking into account the vehicle's current lane location and signal information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If autonomous driving vehicle presents information to traffic participants, then communication effectiveness with following vehicles is improved, but the system complexity increases due to need for lane identification, stop position prediction, and action plan generation
Solution Approach 1:
The information presentation system is segmented into distinct functional modules: lane identification unit, stop position prediction unit, action plan generation unit, and information presentation unit. Each module handles a specific aspect of the information processing task, making the overall complex system manageable and maintainable while achieving effective communication with following vehicles
Solution Approach 2:
The system performs preliminary actions by identifying the current lane, predicting stop positions, and generating action plans before presenting information to following vehicles. This advance preparation ensures that the information presented is relevant and timely, improving communication effectiveness without adding unnecessary complexity during the actual presentation moment
2Measurement precision
If the vehicle predicts stop position based on preceding vehicle traveling state, then information accuracy for following vehicles is improved, but the time required for processing increases
Solution Approach 1:
The stop position prediction unit focuses on predicting only the critical stop position parameter based on the preceding vehicle's traveling state, rather than analyzing all possible motion parameters. This partial action approach maintains sufficient prediction accuracy for safety communication while reducing the overall processing time required
3Reliability
If the vehicle presents detailed action plan information to following vehicles, then safety communication is improved, but the ease of operation for the autonomous driving system decreases
Solution Approach 1:
The information presentation unit extracts and presents only the essential elements of the action plan to following vehicles, rather than displaying all detailed operational parameters. This extraction approach maintains safety communication effectiveness by conveying critical information while keeping the system operation simple and manageable
Data Source
AI summary
An autonomous driving vehicle information presentation device includes a traffic congestion information acquisition unit that acquires information on traffic congestion ahead in a traveling direction of an own vehicle, a traveling lane identification unit that identifies a lane where the own vehicle is currently located, a stop position prediction unit that acquires a traveling state of a preceding vehicle based on an external environment information and the traffic congestion information, and to predict a stop position related to the preceding vehicle based on the acquired traveling state, an action plan generation unit that generates an action plan of the own vehicle based on the stop position and the currently located lane, and an information presentation unit that presents information including the generated action plan through using an external display device provided at a rear portion of a vehicle interior of the own vehicle.