V2V Defensive Driving for Adjacent Autonomous Vehicle Collision Risk
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Solution Overview
Problem
Semi-autonomous vehicles may fail to accurately detect lanes or driving characteristics of adjacent vehicles due to poor visibility, weather conditions, or other factors, leading to potential accidents if operators do not take control in a timely manner.
Innovation Solution
The implementation of vehicle-to-vehicle communication systems that allow a vehicle to determine a collision probability with an adjacent autonomous or semi-autonomous vehicle and autonomously perform defensive driving maneuvers or alert the operator to take control, using sensors and communication modules to assess the situation and initiate appropriate actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If semi-autonomous vehicles rely on their own sensors to detect lanes and adjacent vehicles, then the vehicle can operate independently, but detection accuracy deteriorates under poor visibility or weather conditions
Solution Approach 1:
The patent combines sensor data from multiple vehicles through V2V communication to create a fused perception system. Each vehicle's sensors detect local conditions, and the controller integrates this data with communications from adjacent vehicles to achieve more reliable lane and object detection under adverse conditions than any single vehicle could achieve alone.
Solution Approach 2:
V2V communication acts as an intermediary that transfers detection information between vehicles. When one vehicle's sensors are compromised by weather or visibility issues, the communication module receives and relays detection data from neighboring vehicles, serving as a mediator to maintain detection accuracy.
2Reliability
If the vehicle operator manually takes control when detection fails, then the vehicle can avoid accidents, but response time is delayed and collision risk increases
Solution Approach 1:
The controller continuously monitors V2V communication data and proactively identifies potential collision risks before they materialize. By detecting anomalies in adjacent vehicle behavior or lane marker positions in advance, the system can alert the operator or initiate defensive maneuvers before the situation deteriorates to require emergency manual intervention.
Solution Approach 2:
The system establishes a feedback loop where the controller continuously receives detection data from multiple vehicles, compares it against expected patterns, and provides real-time alerts to the operator when discrepancies indicate potential hazards. This continuous feedback enables earlier operator response compared to waiting for sensor failure.
3Reliability
If the vehicle performs autonomous defensive maneuvers, then collision probability is reduced, but the system complexity increases
Solution Approach 1:
The autonomous defensive maneuver system implements selective automation rather than full autonomy. The controller performs defensive actions only in specific high-risk scenarios detected through V2V communication, such as when adjacent vehicles show signs of lane departure or when detection confidence drops below thresholds, rather than continuously managing all driving decisions.
4Reliability
If multiple vehicles share detection data via V2V communication, then overall detection reliability improves, but communication data processing complexity increases
Solution Approach 1:
The controller extracts only the critical and relevant detection data from V2V communications, such as lane marker positions, adjacent vehicle trajectories, and confidence metrics, rather than processing all raw sensor data from neighboring vehicles. This selective extraction reduces processing complexity while maintaining detection reliability.
Data Source
AI summary
Method and apparatus are disclosed for autonomous vehicle systems utilizing vehicle-to-vehicle communication. An example vehicle includes a communication module configured to perform vehicle-to-vehicle (V2V) communication with an adjacent vehicle having an autonomous system. The example vehicle also includes a controller configured to monitor within the V2V communication for a request by the autonomous system for manual override and, upon identifying the request, determine a collision probability for the adjacent vehicle based at least on the V2V communication. The controller also is configured to compare the collision probability to a first threshold. The example vehicle also includes an autonomy unit to autonomously perform a defensive driving maneuver responsive to the controller determining that the collision probability is greater than the first threshold.