Vehicle Path Prediction for Collision-Aware Traveling Control
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Solution Overview
Problem
Automatic-driving vehicles face the risk of collision due to their inability to sense the future traveling intentions of other vehicles, as they can only detect current positions using sensors, leading to potential collisions.
Innovation Solution
A vehicle traveling control method that predicts the paths of candidate vehicles within its sensing range, determines a target competing vehicle with a path intersection, and calculates traveling strategy combinations based on preset variations and current status to ensure safe travel by selecting the appropriate strategy that meets preset safe conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are used to detect current positions of other vehicles, then the vehicle can obtain real-time position information, but the vehicle cannot sense future traveling intentions leading to collision risk
Solution Approach 1:
The system performs preliminary action by predicting the traveling paths of candidate vehicles before actual path intersection occurs. The prediction module uses historical trajectory data and preset traveling variations to forecast future positions and intentions of other vehicles, allowing the current vehicle to prepare appropriate response strategies in advance, thereby preventing collisions before they happen.
Solution Approach 2:
The system applies dynamics by continuously updating traveling strategy combinations based on real-time changes in vehicle status and predicted paths. The traveling strategy determination module dynamically adjusts acceleration, deceleration, and lane change strategies according to the predicted trajectories of candidate vehicles and the current vehicle's status, making the system adaptable to changing conditions rather than relying on static detection alone.
2Reliability
If multiple traveling strategy combinations are calculated based on preset variations, then the system can optimize for safety and comfort, but the calculation complexity increases
Solution Approach 1:
The system segments the traveling path into multiple candidate paths with preset traveling variations (e.g., different acceleration rates, lane change timings). Instead of calculating all possible strategies at once, the prediction module divides the problem into discrete path segments, and the traveling strategy determination module evaluates each segment independently, combining results to form complete traveling strategies. This segmentation reduces computational complexity while maintaining comprehensive safety evaluation.
3Reliability
If the system determines target traveling strategy combinations meeting safe conditions, then collision risk is reduced, but the response time for real-time control may be extended
Solution Approach 1:
The system performs preliminary calculation of traveling strategy combinations using preset traveling variations and historical data before real-time control is needed. By pre-establishing the framework for evaluating candidate paths and their associated strategies, the system reduces the computational burden during real-time operation, allowing rapid selection of safe strategies when actual control decisions are required.
Data Source
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AI summary
A vehicle traveling control method, includes: predicting traveling paths of candidate vehicles within the sensing range of a current vehicle (S11); determining a target competing vehicle competing with the current vehicle from the candidate vehicles (S12), where the target competing vehicle is a vehicle having a path intersection with the traveling path of the current vehicle; determining the traveling strategy combinations of the current vehicle and the target competing vehicle according to preset traveling variations and current traveling status of the current vehicle and the target competing vehicle (S13); and determining a target traveling strategy combination that meets preset safe traveling conditions from the traveling strategy combinations, and controlling the traveling of the current vehicle according to the target traveling strategy combination (S14).