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.
Multifunctional Advanced Driver Assistance Systems (ADAS)
Deep learning, geomagnetic sensing network and LoRa IoT based automated parking lot management system
Digital Virtual Cockpit (DVC) with Advanced Driver Assistance System (ADAS) Showcasing End to End Silicon and System Capabilities
"1) Integrating AI recognition, IoT, and blockchain into traceable software and hardware for recycling UCO 2) Cutting-edge 3D learning platform powered by Spatial AI 3) Optimize use of existing buildings by making them transformable and adaptive to human needs at the click of a button 4) Non-contact image analysis and calculation technology to capture vital signs through dynamic face detection"
Technology maturity：Experiment stage
Exhibiting purpose：Technology transactions、Display of scientific results
Trading preferences：Exclusive license/assignment、Technical license/cooperation
Coming soon!