Radar Object Detection Using 3D-2D Encoder-Decoder Network
Author:
Affiliation:
1. Nanjing University of Aeronautics and Astronautics,College of Automation Engineering,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10409595/10409596/10409687.pdf?arnumber=10409687
Reference35 articles.
1. Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System
2. K-Radar: 4D Radar Object Detection Dataset and Benchmark for Autonomous Driving in Various Weather Conditions;Paek;NeurIPS 2022 Data. Bench. Track,2022
3. 3D-DFM: anchor-free multimodal 3D object detection with dynamic fusion module for autonomous driving;Chunmian;IEEE Trans. Neural Netw. Lear. Syst,2022
4. Bridging the View Disparity Between Radar and Camera Features for Multi-Modal Fusion 3D Object Detection
5. Radar-Camera Pixel Depth Association for Depth Completion
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