Vehicle Wheel Rotation Sensing for Earlier Collision Prediction
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Solution Overview
Problem
Conventional collision avoidance systems in vehicles are limited to location and speed assessment, which restricts their ability to prevent certain potential collisions.
Innovation Solution
A vehicle system that utilizes perception sensors to detect and analyze wheel movement information of surrounding vehicles to predict collisions, providing alerts to the driver and potentially performing evasive actions to avoid collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional collision avoidance systems use only location and speed assessment, then the system complexity is low, but the collision detection precision is insufficient
Solution Approach 1:
The system segments the object vehicle into multiple detectable components, specifically identifying wheels as key indicators of motion intent. By detecting and analyzing wheel movement separately from the overall vehicle position and speed, the system gains finer-grained information about the vehicle's immediate motion intentions, thereby improving collision detection precision without requiring a complete overhaul of the system architecture.
Solution Approach 2:
The system adds a new dimension of analysis by incorporating wheel rotation data alongside traditional location and speed parameters. This dimensional expansion allows the system to assess not just where a vehicle is and how fast it's moving, but also the rotational state of its wheels, providing earlier and more accurate prediction of collision risks.
2Reliability
If the system analyzes wheel movement information, then the collision prediction accuracy is improved, but the data processing complexity increases
Solution Approach 1:
The system extracts specific wheel movement information from the overall vehicle data stream, focusing on the rotational state and movement of wheels as a separate, isolated parameter set. This extraction allows the system to process only the most relevant motion indicators (wheel rotation) rather than analyzing all possible vehicle parameters, thereby improving prediction accuracy while managing data processing complexity through selective focus.
3Reliability
If the system provides timely collision alerts and evasive actions, then the collision avoidance effectiveness is improved, but the response time requirement increases
Solution Approach 1:
The system performs preliminary analysis of wheel movement to predict potential collisions before they actually occur. By detecting wheel rotation patterns that indicate impending maneuvers (such as sudden turns or acceleration), the system can issue alerts and initiate evasive actions in advance, providing timely response while maintaining adequate reaction time for both automated and driver-initiated maneuvers.
Data Source
AI summary
A method for avoiding vehicle collisions. The method includes capturing data on an external environment using at least one perception coupled to an ego vehicle. The method further includes detecting at least one wheel of at least one object vehicle based on the data that is captured. The method further includes computing wheel movement information of the at least one wheel, wherein the wheel movement information indicates vehicle movement information of the at least one object vehicle. The method further includes detecting a predicted collision between the ego vehicle and the at least one object vehicle based on the wheel movement information.