In-Vehicle Sensor System Adaptive Scanning for Collision Avoidance
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Solution Overview
Problem
Vision-based sensor systems in vehicles often lack sufficient time to detect and respond to objects entering their field of view, resulting in delayed reaction times for the vehicle or driver.
Innovation Solution
A vehicle safety system that utilizes vehicle-to-vehicle and vehicle-to-infrastructure communication to receive information about approaching objects, allowing it to modify scan and classification parameters to quickly identify and respond to objects by focusing sensors on specific regions of interest and prioritizing object classes, thereby reducing detection time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the sensor scans the entire field of view using standard scan parameters, then comprehensive object detection is achieved, but the detection time is insufficient for recently entered objects
Solution Approach 1:
The system receives information about objects outside the field of view and predicts their entry into the field of view before it actually happens. Based on this prediction, the scan parameters are modified in advance to focus scanning resources on the anticipated entry region, enabling faster detection when the object enters the field of view while maintaining detection reliability.
Solution Approach 2:
Instead of uniformly scanning the entire field of view, the system applies different scan parameters to different regions. The predicted entry region receives enhanced scanning attention with modified parameters (such as increased scan frequency or reduced resolution), while other regions maintain standard scanning, thereby reducing overall detection time for critical objects without compromising comprehensive detection.
2Speed
If the system modifies scan parameters to focus on predicted object entry regions, then detection speed is improved, but the scan coverage may be reduced
Solution Approach 1:
The scan parameters are made dynamic and adaptive rather than static. The system continuously receives information about objects outside the field of view, predicts their entry, and adjusts scan parameters in real-time to match the predicted object trajectory and entry point. This dynamic adjustment allows the system to maintain focused scanning on high-probability regions while still providing adequate coverage of other areas through periodic or reduced scanning.
Data Source
AI summary
A method of identifying an object includes setting scan parameters for scanning, with a sensor, objects in a field of view of the sensor; setting classification parameters for identifying objects scanned in the field of view of the sensor; controlling the sensor to scan for objects in the field of view using the scan parameters, and to identify any scanned objects based upon the classification parameters; receiving information relating to a first object which is not in the field of view but is expected to enter the field of view; modifying the scan parameters based upon the received information, controlling the sensor to scan based upon the modified scan parameters; and identifying the first object in the field of view. Responsive to identifying the first object, the method performs one or more actions so the vehicle avoids the first object.