About
Contact & Profiles
A5070757747
Research Areas
- Video Surveillance and Tracking Methods
- Autonomous Vehicle Technology and Safety
- Human auditory perception and evaluation
- Advanced Neural Network Applications
Delft University of Technology
2020
Kyushu University
2020
This letter presents a novel radar based, single-frame, multi-class detection method for moving road users (pedestrian, cyclist, car), which utilizes low-level cube data. The provides class information both on the target- and object-level. Radar targets are classified individually after extending target features with cropped block of 3D around their positions, thereby capturing motion parts in local velocity distribution. A Convolutional Neural Network (CNN) is proposed this classification...
10.1109/lra.2020.2967272
article
EN
IEEE Robotics and Automation Letters
2020-01-17
10.1007/s13177-020-00235-0
article
EN
International Journal of Intelligent Transportation Systems Research
2020-11-09
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