Vehicle Backing System Front Wheel Off-Tracking Collision Avoidance
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Solution Overview
Problem
Current driver assistance systems for vehicles, especially when reversing, struggle to effectively detect and prevent collisions with objects alongside the vehicle, particularly when operating in semi-autonomous or autonomous modes, due to limitations in sensor technology and collision prediction accuracy.
Innovation Solution
A backing system that integrates sensors, cameras, and a controller to detect objects alongside the vehicle, predict potential collision paths, and autonomously adjust steering and braking to avoid collisions by determining the probability of collision and implementing appropriate responses, such as warnings or control inputs, to prevent front wheel off-tracking and side collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors and cameras are used to detect objects alongside the vehicle during reverse operation, then collision detection capability is improved, but the system complexity increases
Solution Approach 1:
The system divides the detection task into multiple sensor zones (front, side, rear) with each sensor targeting specific areas. The controller segments the collision risk assessment into different probability levels, enabling focused monitoring rather than uniform coverage, thus improving detection precision without proportionally increasing overall system complexity
Solution Approach 2:
The sensor system is designed to perform multiple functions: detecting objects alongside the vehicle, determining collision probability, and providing data for both warning signals and autonomous steering control. This multi-functionality reduces the need for separate specialized systems, improving detection capability while managing system complexity
2Measurement precision
If the system determines predicted vehicle path including front wheel tracking path, then collision prediction accuracy is improved, but the computational complexity increases
Solution Approach 1:
The system pre-calculates the front wheel tracking path based on vehicle geometry and steering angle before collision assessment. By determining the predicted vehicle path in advance rather than during real-time collision detection, the system achieves high prediction accuracy while managing computational load through preliminary computation
Solution Approach 2:
The system uses simplified geometric models and approximations for tracking path calculation rather than complex physics simulations. These computationally lightweight models provide sufficient accuracy for collision prediction without requiring intensive computational resources, effectively using 'cheap' calculation methods for the prediction task
3Reliability
If autonomous control responses are implemented based on collision probability, then collision avoidance effectiveness is improved, but the control system complexity increases
Solution Approach 1:
The control system dynamically adjusts the level of intervention based on calculated collision probability. When probability is low, the system provides information to the driver; when probability exceeds thresholds, the system progressively takes control including issuing warnings and executing autonomous steering commands. This dynamic response strategy improves avoidance effectiveness while managing control complexity through adaptive intervention
Solution Approach 2:
The system continuously monitors collision probability and adjusts control responses based on this feedback loop. The controller receives ongoing data from sensors, recalculates collision risk, and modifies steering commands accordingly. This feedback mechanism enables effective collision avoidance through adaptive control rather than static pre-programmed responses, improving reliability while maintaining manageable system complexity
Data Source
AI summary
A method of avoiding a collision while operating a vehicle in reverse comprises detecting an object proximate to a vehicle with at least one sensor including detecting objects located along side of a vehicle and determining a predicted vehicle path, including a tracking path for front wheels of the vehicle. A probability is determined with a controller located within the vehicle of collision of one of the front corner and a side of the vehicle with the object while the vehicle is travelling in reverse and at least one collision avoidance response is determined with the controller based on the probability of collision.