Dynamic Collision Avoidance Response for Autonomous Vehicles
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Solution Overview
Problem
Autonomous vehicles often employ overly conservative collision avoidance responses, leading to reduced passenger experience and operational efficiency, as they may unnecessarily brake or swerve when detecting pedestrians in areas where collision is unlikely, such as bus stops or school zones.
Innovation Solution
The vehicle dynamically adjusts its collision avoidance response based on the location of detected objects using navigation assistance data, switching between conservative and cautious modes depending on whether the object is within a classified area like a bus stop or not, thereby reducing unnecessary braking and swerving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle uses a conservative collision avoidance response procedure to ensure pedestrian safety, then safety is improved, but passenger experience and operational efficiency deteriorate due to unnecessary braking and swerving
Solution Approach 1:
The system dynamically adjusts the collision avoidance response procedure based on real-time classification of the object's location. When an object is classified as being in a safe zone (e.g., sidewalk, designated pedestrian area), the system switches to a cautious response with reduced braking and swerving. When the object moves to a high-risk zone (e.g., vehicle pathway), the system transitions to a conservative response. This dynamic adaptation resolves the contradiction by making safety responses context-dependent rather than uniformly conservative.
Solution Approach 2:
The system applies different collision avoidance response characteristics to different spatial locations. Instead of using a uniform conservative response throughout the environment, the system classifies space into zones with different risk levels and applies appropriate response procedures to each zone. This local differentiation allows cautious responses in low-risk areas while maintaining conservative responses in high-risk areas, thereby improving operational efficiency without compromising safety where needed.
2Reliability
If the vehicle initiates a conservative collision avoidance response upon detecting any object, then pedestrian safety is improved, but passenger experience deteriorates due to reduced driving quality
Solution Approach 1:
The collision avoidance response procedure transitions dynamically based on the classified location of detected objects. The system continuously monitors object positions and adjusts the response procedure in real-time. When objects are in classified safe zones, the system employs a cautious, smoother response that maintains passenger comfort. When objects enter high-risk zones, the system automatically switches to a conservative response procedure. This dynamic behavior resolves the contradiction by making safety responses adaptive rather than static.
3Stability of the object's composition
If the vehicle uses a uniform collision avoidance response procedure in all areas, then safety consistency is improved, but operational efficiency deteriorates due to unnecessary responses in areas where pedestrians are not expected to move into pathways
Solution Approach 1:
The system implements location-specific collision avoidance response procedures by classifying the environment into different zones. Each zone has predetermined characteristics that determine the appropriate response level. For example, zones where pedestrians are expected to remain (e.g., bus stops, sidewalks) receive cautious responses, while zones where pedestrians may enter the pathway receive conservative responses. This local differentiation maintains safety consistency within each zone type while optimizing overall vehicle efficiency by avoiding unnecessary conservative responses in low-risk areas.
Data Source
AI summary
A computer-implemented method for controlling a vehicle comprises: receiving tracking data associated with a surrounding environment of the vehicle; detecting, based upon the tracking data, an object in the surrounding environment of the vehicle; determining a location of the object; determining, based on navigation assistance data, whether the location of the object is at least partially within a classified area in the surrounding environment; and configuring a control system of the vehicle to: initiate, based upon determining that the location of the object is not at least partially within the classified area, a first collision avoidance response procedure for responding to the object; and initiate, based upon determining that the location of the object is at least partially within the classified area, a second collision avoidance response procedure for responding to the object, the second collision avoidance response procedure different from the first collision avoidance response procedure.