Vehicle Sensor System Learning Mode for Accessory Detection
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Solution Overview
Problem
Vehicles equipped with removable accessories often experience false positives from sensor systems, leading to reduced effectiveness and unnecessary actuation of safety systems, as the sensors detect accessories as external objects.
Innovation Solution
A system comprising a processor, sensors, and a memory device that learns the locations of attached accessories during a learning mode and distinguishes them from external objects in an operating mode, using a two-dimensional data structure to accurately report the presence of external objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sensor system continuously monitors all detected objects, then external objects can be detected, but accessories attached to the vehicle are falsely identified as external objects
Solution Approach 1:
The system performs preliminary learning during a learning mode to identify and store the locations of accessories attached to the vehicle before normal operation begins. This preliminary action allows the system to distinguish between accessories and external objects during subsequent monitoring, eliminating false positives while maintaining detection accuracy.
2Productivity
If the sensor system is configured to detect all objects in the external area, then comprehensive monitoring is achieved, but the system cannot distinguish between accessories and external objects
Solution Approach 1:
The monitoring area is segmented into two categories: areas occupied by accessories (identified during learning mode) and areas for external object detection. This segmentation allows the system to maintain comprehensive monitoring coverage while accurately classifying objects by comparing their locations against the stored accessory map.
3Reliability
If safety systems are actuated based on all detected objects, then collision prevention is maximized, but unnecessary actuation occurs when accessories are detected
Solution Approach 1:
The system uses feedback from the learning mode to continuously compare detected object locations against the stored accessory locations. This feedback mechanism enables the system to determine whether a detected object is an accessory or an external object, ensuring safety systems are actuated only when genuine external objects are detected, not when accessories are present.
Data Source
AI summary
A system for configuring at least one sensor system of a vehicle includes a processor, at least one sensor, and a memory device. The processor is configured to execute the method that includes the steps of, during a learning mode, receiving signals from the at least one sensor regarding one or more objects attached to the vehicle, storing in a memory device at least one location of one or more objects attached to the vehicle in the memory and detected by the at least one sensor. In an operating mode, the method includes the steps of receiving signals from the at least one sensor regarding the location of one or more objects external to the vehicle, determining if the location of any of the objects external to the vehicle are different from the locations of any objects stored in the memory device during the learning mode, and reporting to a vehicle system when one or more objects external to the vehicle have a one or more locations different from the locations stored in the memory device during the learning mode.