Personal Mobility Safe Driving System with Knowledge Distillation
Author:
Affiliation:
1. Ewha Womans University,Department of Electronic and Electrical Engineering,Seoul,South Korea
2. Ewha Womans University,Graduate Program in Smart Factory,Seoul,South Korea
Funder
National Research Foundation of Korea (NRF)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10202211/10202162/10202355.pdf?arnumber=10202355
Reference29 articles.
1. Lane Detection and Classification for Forward Collision Warning System Based on Stereo Vision
2. Towards End-to-End Lane Detection: an Instance Segmentation Approach
3. Helmet Detection Based On Improved YOLO V3 Deep Model
4. Obstacle detection and classification using deep learning for tracking in high-speed autonomous driving
5. Driver anomaly detection: A dataset and contrastive learning approach;köpüklü;2021 IEEE Winter Conference on Applications of Computer Vision (WACV),0
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1. Estimation of Optimal Weight Sensor Placement to Restrict the Number of Passengers in Personal Mobility Vehicles;The Journal of Korean Institute of Information Technology;2023-10-31
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