Deep learning based camera/radar sensor fusion technology for road side unit (RSU) applications
Based on deep learning camera/radar object detection and tracking technology, the proposed road side unit (RSU) system has achieved over 95% vehicle detection accuracy within 100m detection range in the processing performance of 20fps under nVidia Jetson Xavier platform. Compared to the 32-beam lidar based RSU, the proposed RSU achieves 97% reduction of sensor cost that exhibits high competitiveness in deployment cost. The proposed RSU system has been verified in fields and we are now cooperating with an industry partner to deploy the RSU system in both Tainan and Tao-Yuan cities.
National Yang Ming Chiao Tung University (NYCU) was formed in 2021 through the merger of National Yang Ming University and National Chiao Tung University. Located in Hsinchu, Taiwan, NYCU is a leading institution specializing in technology, engineering, medicine, and social sciences. The university is known for its strengths in research and innovation, particularly in areas such as information technology, biomedicine, and artificial intelligence. NYCU fosters interdisciplinary collaboration, global partnerships, and aims to nurture professionals with strong academic foundations and leadership skills to address societal challenges and contribute to technological advancements.
DeepArrest: deep learning-based cardiac arrest warning system for IOT-based oximeter
Bionic Organ of Precision Hearing: Deep Learning-Based Neural Network AIoT Approach for Noise Reduction in Next Generation Cochlear Implant
Cholesteric Liquid Crystal AI Electric-Optical AIoT System for Environmental Detection, Medical Test, Epidemic Prevention and Green energy applications
Deep-Learning-Based Pupil Center Detection and Tracking Technology for Visible-Light Wearable Gaze Tracking Devices
Technology maturity:Trial production
Exhibiting purpose:Display of scientific results
Trading preferences:Exclusive license/assignment、Negotiate by self
*Organization
*Name
*Phone
*Main Purpose
*Discuss Further
*Job Category
*Overall Rating
*Favorite Area
*Key Tech Focus
*Willing to Receive Updates?
Other Suggestions
Coming soon!