Michigan Patent of the Month – April 2021
Automated driving is coming to life fast, using cameras and sensors to try and provide a failsafe algorithm to direct movements.Plenty of technology that is developed for aiding and assisting human drivers will contribute to self-driving in the future. Developing effective and accurate computer vision will be critical to this transition. Magna Electronics, Inc. has been working on developing the technology that will direct these self-driving cars in a sustainable and safe way. They have recently been working on a vision system that can determine true negatives and avoid false negatives and positives for safe conditions using a failsafe algorithm.
The cameras detect objects that are nearby or in the predicted path of the vehicle, especially for use in reverse driving. The system is equipped with a failsafe algorithm that aims to evaluate and ensure the machine vision is at it’s best conditions. This means the vehicle has to meet certain standards to be deemed safe – for instance, all doors and trunk should be closed, ignition in the right position, and mirrors unfolded (if needed). The failsafe algorithm helps to reduce the conditions that might negatively impact the machine vision, such as your door being open and blocking the camera view. In the case of blockages (e.g. mud, snow, rain) the failsafe indicates a partial or full blockage. The same goes for if the cameras need recalibration or receive damage. These blockages or errors are measured on a 5 part scale with meaning no blockage, and 5 meaning fully blocked. This scale helps the system separate true positives from false positives and false negatives. The system tracks the frequency of these error indications and uses this information to determine if the issue is real or falsely reported. When a true positive is detected, an alert is sent to the driver, highlighting the blockage to enhance driver awareness.
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