FPGA-Based Real-Time Object Detection and Classification System Using YOLO for Edge Computing
Author:
Affiliation:
1. Institute for Embedded Systems, University of Siegen, Siegen, Germany
Funder
Stiftung Innovation in der Hochschullehre
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10537163.pdf?arnumber=10537163
Reference43 articles.
1. DAC-SDC Low Power Object Detection Challenge for UAV Applications
2. Vehicle and Pedestrian Detection Algorithm Based on Lightweight YOLOv3-Promote and Semi-Precision Acceleration
3. TPNet: Trajectory Proposal Network for Motion Prediction
4. YolTrack: Multitask Learning Based Real-Time Multiobject Tracking and Segmentation for Autonomous Vehicles
5. Deep CNN-Based Real-Time Traffic Light Detector for Self-Driving Vehicles
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