This technology based on light-weights multi-task deep learning model to solve object detection and semantic segmentation problem. It can be used to detect drivable area, lane line and also moving object on the road with single camera. The captured information can be utilized for a lot of advanced driver assistant system, including LDWS, FCWS/RCWS, AEB, PD, BSD, etc. The algorithm can now run at 10FPS on NVIDIA Jetson Xavier embedded system and 15 FPS on Texas Instrument TDA2x.
Digital Virtual Cockpit (DVC) with Advanced Driver Assistance System (ADAS) Showcasing End to End Silicon and System Capabilities
Multifunctional Advanced Driver Assistance Systems (ADAS)
Deep learning, geomagnetic sensing network and LoRa IoT based automated parking lot management system
Algorithm-Driven Design: Using new algorithm and deep learning model to control the microstructures generation of favorable mechanical behavior (Static & Dynamic) in additive manufacturing.
Technology maturity：Experiment stage
Exhibiting purpose：Technology transactions、Display of scientific results
Trading preferences：Exclusive license/assignment、Technical license/cooperation
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