Driver Assistance Steering for Lane-Splitting Vehicle Avoidance
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Solution Overview
Problem
Existing advanced driver assistance systems (ADAS) struggle to effectively detect and avoid motorcycles or bicycles that perform lane splitting, as they primarily focus on maintaining lane center and reacting to adjacent vehicles rather than detecting vehicles between lanes.
Innovation Solution
A driver assistance system equipped with a camera mounted on the host vehicle, capable of analyzing image data to detect lane splitting vehicles and control the steering device to laterally move the host vehicle away from the lane line closest to the splitting vehicle, thereby avoiding collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the ADAS focuses on lane center maintenance and adjacent vehicle detection, then the vehicle can maintain stable lane following, but it cannot detect motorcycles or bicycles that travel between lanes
Solution Approach 1:
The patent extends the detection capability from the traditional two-dimensional lane-based detection to a three-dimensional spatial detection that includes the space between lanes. The controller is configured to detect vehicles not only in adjacent lanes but also in the space between lanes, adding a new dimensional aspect to the detection coverage. This allows the system to identify lane splitting vehicles that were previously undetectable while maintaining the原有 lane center maintenance function.
2Reliability
If the ADAS maintains strict lane center following, then the vehicle traveling route is predictable and stable, but it cannot safely avoid lane splitting vehicles that appear between lanes
Solution Approach 1:
The patent introduces dynamic adjustment to the lane following control. When a lane splitting vehicle is detected between lanes, the controller dynamically modifies the steering control to avoid the detected vehicle, deviating from the strict lane center path. This dynamic adjustment allows the system to maintain stability under normal conditions while adapting to emergency situations, resolving the contradiction between predictable lane following and safe avoidance maneuvering.
Solution Approach 2:
The system continuously monitors the space between lanes for detected vehicles and provides feedback to the steering control. When a lane splitting vehicle is detected, the feedback triggers a steering adjustment to avoid the vehicle. This closed-loop feedback mechanism enables the system to maintain lane center following stability while automatically responding to safety threats, balancing both requirements.
Data Source
AI summary
A driver assistance system include a camera mounted on a host vehicle and having an external field of view of the host vehicle and a controller configured to process image data captured by the camera. The controller may analyze the image data to determine whether a lane splitting vehicle approaching or close to the host vehicle is present and control a steering device of the host vehicle so that the host vehicle laterally moves away from a lane line close to the lane splitting vehicle when the lane splitting vehicle is present.