Brake Control Using Driver Gaze and Road-Bound Trajectory
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Solution Overview
Problem
Conventional brake control systems for autonomous vehicles unnecessarily warn drivers and intervene in braking when a front object is not on the driving trajectory, due to the lack of consideration for road information and driver gaze, leading to false collision warnings and interventions.
Innovation Solution
An apparatus and method that utilize sensors to collect road facility and front object information, determine if the driver is gazing forward, and generate a limited trajectory based on road boundaries to assess collision risks, thereby reducing unnecessary warnings and interventions by considering the driver's gaze and road information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the brake control system determines collision risk based only on driving trajectory without considering road information, then the system can detect potential collisions, but it produces false warnings and unnecessary interventions when front objects are not on the actual driving path
Solution Approach 1:
The patent applies local quality by differentiating the treatment of different spatial regions. It defines a limited driving trajectory that is constrained by road boundaries, so that collision risk assessment is focused only on relevant local areas rather than the entire forward space. This allows the system to ignore objects that are outside the drivable path, reducing false warnings while maintaining detection accuracy for actual hazards.
Solution Approach 2:
The patent segments the forward space into distinct regions: the limited driving trajectory (constrained by road boundaries) and areas outside it. By dividing the monitoring space in this way, the system can apply different assessment rules to different segments, assessing collision risk only within the drivable path segment and ignoring objects in non-drivable segments, thereby eliminating false warnings.
2Measurement precision
If the system monitors a wide area without road boundary constraints, then it can detect all potential objects, but it increases false positives by including objects that are not on the drivable path
Solution Approach 1:
The system applies local quality by making the detection coverage spatially selective. Instead of uniformly monitoring all areas, it concentrates detection resources on the limited driving trajectory defined by road boundaries. This localized approach maintains high measurement precision for objects on the path while filtering out irrelevant objects outside the path, thereby improving overall assessment reliability.
3Reliability
If the system intervenes in braking for all detected front objects, then it ensures safety by covering all potential risks, but it causes unnecessary braking interventions that disrupt normal driving
Solution Approach 1:
The system applies local quality by restricting braking intervention to only those objects that pose actual collision risks within the limited driving trajectory. Objects outside this constrained path do not trigger braking interventions, even if detected. This selective approach maintains safety coverage for genuine hazards while eliminating unnecessary interventions that would disrupt normal driving, thereby improving ease of operation.
Data Source
AI summary
The present disclosure relates to an apparatus and method for controlling a brake system based on a driver's forward gaze.