Driver Assistance Prediction for Out-of-Sight Vehicle Glare Control
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Solution Overview
Problem
Current driver assistance systems are limited by the range of sensors, leading to inaccurate detection and handling of third-party vehicles that move out of or haven't entered the sensor's line of sight, resulting in suboptimal operation of functions like glare-free high beams, which can cause driver distraction and reduced road illumination.
Innovation Solution
The method predicts the movement of third-party vehicles using motion data captured when they are within the sensor's range and integrates this with map data to extend the sensor's range, allowing the driver assistance system to anticipate and adjust operations, such as dimming high-beam regions, to prevent glare and maintain maximum illumination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor range is extended to detect third-party vehicles outside line of sight, then detection capability is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary detection when third-party vehicles are within sensor range, captures motion data, and stores it for later prediction. This preliminary action enables the system to anticipate vehicle re-entry without requiring continuous extended-range sensing, thus improving detection capability while avoiding the complexity of constantly active wide-area sensors.
Solution Approach 2:
The patent introduces map data as an intermediary element that bridges the gap between limited sensor range and extended detection needs. By combining motion data with map information about road geometry and terrain, the system can predict vehicle positions outside the current sensor field of view without requiring direct sensory coverage of those areas.
2Device complexity
If timer-based solutions are used to manage high-beam operation, then system complexity is reduced, but illumination optimality deteriorates
Solution Approach 1:
The system establishes a feedback loop where sensor detection continuously monitors for third-party vehicles, triggers prediction algorithms when vehicles are detected, and adjusts high-beam operation based on predicted re-entry timing. This closed-loop feedback replaces simple timer-based open-loop control, optimizing illumination while maintaining manageable system complexity through intelligent algorithms.
3Device complexity
If sensor range is limited to line of sight, then device complexity is reduced, but detection accuracy deteriorates
Solution Approach 1:
The system performs preliminary data collection and motion analysis while third-party vehicles are still within sensor range. By capturing and storing motion characteristics (speed, direction, acceleration) during the visible period, the system builds a predictive model that maintains detection accuracy even after vehicles move out of line of sight, without requiring permanently extended sensor ranges.
Data Source
AI summary
In order to provide an enhanced driver assistance system for a vehicle, a prediction of a movement of the third-party vehicle is determined based upon motion data relating to a third-party vehicle travelling in front which has moved out of a region of view of at least one sensor of the vehicle, or relating to an oncoming third-party vehicle which has not yet entered the region of view of the sensor, and based upon map data. The driver assistance system is then operated on the basis of the prediction.