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HARadNet: Anchor-free target detection for radar point clouds using hierarchical attention and multi-task learning

  • Published:2022-06 Issue: Volume:8 Page:100275
  • ISSN:2666-8270
  • Container-title:Machine Learning with Applications
  • language:en
  • Short-container-title:Machine Learning with Applications

Author:

Dubey AnandORCID,Santra AvikORCID,Fuchs JonasORCID,Lübke MaximilianORCID,Weigel Robert,Lurz FabianORCID

Publisher

Elsevier BV

Subject

General Medicine

Reference41 articles.

1. Towards 3D lidar-based semantic scene understanding of 3D point cloud sequences: The semantickitti dataset;Behley;International Journal of Robotics Research,2021

2. Three decades of driver assistance systems: Review and future perspectives;Bengler;IEEE Intelligent Transportation Systems Magazine,2014

3. Multi-task learning for segmentation of building footprints with deep neural networks;Bischke,2019

4. Multi-task learning using uncertainty to weigh losses for scene geometry and semantics;Cipolla,2018

5. 2D car detection in radar data with PointNets;Danzer,2019

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey;Information Fusion;2025-01

2. Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Uncertainty-Aware Point-Cloud Semantic Segmentation for Unstructured Roads;IEEE Sensors Journal;2023-07-01

4. Polarimetric Range Extended Target Detection via Adaptive Range Weighted Feature Extraction;Remote Sensing;2023-06-04

5. CP3: Channel Pruning Plug-in for Point-Based Networks;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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