ADAS Obstacle Clustering for Adjacent Vehicle Collision Detection
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Solution Overview
Problem
Existing advanced driver assistance systems (ADAS) face challenges in accurately detecting and tracking multiple obstacles due to difficulties in sensor fusion, leading to low accuracy in collision detection and prevention.
Innovation Solution
An advanced driver assistance system (ADAS) that utilizes a communicator and processor to generate cluster areas based on obstacle information from cameras and distance detectors, determining fusion tracks, and recognizing obstacles through movement information to enhance collision detection and prevention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor fusion is performed on obstacles detected by cameras and distance detectors, then obstacle detection accuracy is improved, but when obstacles are adjacent to the vehicle body, sensor fusion becomes difficult and tracking accuracy deteriorates
Solution Approach 1:
The patent introduces a gate area as an intermediary spatial region centered on the fusion track. This gate area serves as a mediator to identify and cluster adjacent obstacles by checking whether single tracks from distance detectors fall within this predefined region, thereby simplifying the sensor fusion process for obstacles near the vehicle body
Solution Approach 2:
The patent segments the obstacle detection space into distinct regions: a gate area centered on the fusion track and surrounding areas. By dividing the detection space and applying different processing rules to different segments (fusion-based tracking for distant obstacles, gate-area-based clustering for adjacent obstacles), the system resolves the complexity of unified sensor fusion
2Reliability
If fusion track is generated for adjacent obstacles, then collision detection accuracy is improved, but the complexity of track management increases
Solution Approach 1:
The patent implements dynamic track management where the system adaptively switches between fusion track mode and single track mode based on obstacle characteristics. When obstacles are adjacent to the vehicle, the system dynamically creates cluster areas and manages tracks as groups rather than individual entities, reducing management complexity while maintaining reliability
Solution Approach 2:
The patent merges multiple single tracks into a single cluster area when obstacles are adjacent to the vehicle body. By combining track management for multiple adjacent obstacles into one unified cluster representation, the system reduces the number of individual tracks that need to be managed separately, thereby simplifying track management complexity
3Measurement precision
If cluster area is generated based on gate area and single tracks, then obstacle recognition accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-defining the gate area based on the fusion track before processing individual single tracks. By establishing this reference region in advance, the system avoids complex real-time calculations during obstacle clustering, thereby reducing processing time while maintaining recognition accuracy
Data Source
AI summary
An advanced driver assistance system (ADAS) and a vehicle including the same include a camera; a plurality of distance detectors; a braking device; and a processor configured to recognize a fusion track and a plurality of single tracks based on obstacle information recognized by the camera and obstacle information recognized by at least one of the plurality of distance detectors, upon determining that the fusion track is present, obtain a cluster area in a stationary state and a cluster area in a moving state based on movement information and reference position information of the fusion track and movement information and position information of each of the single tracks, determine a possibility of collision based on the obtained cluster area, and control the braking device in response to the determined possibility of collision.