Beijing TuSimple Future Technology has filed a patent for a sensor network providing full and redundant coverage for autonomous vehicles. The system includes multiple cameras with overlapping fields of view and directional sensors to ensure comprehensive environmental awareness for safe autonomous driving. GlobalData’s report on Beijing TuSimple Future Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Beijing TuSimple Future Technology, Autonomous freight management was a key innovation area identified from patents. Beijing TuSimple Future Technology's grant share as of January 2024 was 33%. Grant share is based on the ratio of number of grants to total number of patents.
Redundant sensor coverage for autonomous vehicles
A sensor network for an autonomous vehicle has been claimed in a filed patent (Publication Number: US20240040269A1). The sensor network includes a plurality of first cameras with a first field-of-view (FOV) and a first horizontal aspect, as well as a plurality of second cameras with a second FOV and a second horizontal aspect. These cameras are strategically located at different angular positions along the autonomous vehicle's horizontal plane, ensuring that the horizontal aspects of two consecutive cameras overlap by a predetermined number of degrees. The system also involves operating the cameras at corresponding frame rates, synchronizing them with a light detection and ranging sensor's frequency on the vehicle, and considering the expected speed of external objects in motion relative to the vehicle.
Furthermore, the sensor network encompasses various configurations such as symmetrical angular locations of cameras, stereovision-based detection with specific camera separations, and vertical aspect overlaps between different camera types. The system is designed to continuously cover a 360-degree span around the vehicle, ensuring comprehensive monitoring. Additionally, a computer is integrated into the network to manage the data from the cameras and facilitate the autonomous vehicle's operation. The method outlined in the patent involves receiving image data from the sensor network, detecting external objects, determining the vehicle's trajectory based on this data, and directing the vehicle accordingly. The method also includes estimating distances between objects and the vehicle using stereovision techniques and tracking moving objects across different camera fields-of-view for enhanced situational awareness and navigation.
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