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FastPillars: A Deployment-friendly Pillar-based 3D Detector [article]

Sifan Zhou, Zhi Tian, Xiangxiang Chu, Xinyu Zhang, Bo Zhang, Xiaobo Lu, Chengjian Feng, Zequn Jie, Patrick Yin Chiang, Lin Ma
2023 arXiv   pre-print
In this paper, to tackle the challenge of efficient 3D object detection from an industry perspective, we devise a deployment-friendly pillar-based 3D detector, termed FastPillars.  ...  Second, we propose a simple yet effective principle for designing a backbone in pillar-based 3D detection.  ...  Conclusion In this paper, we propose FastPillars, a real-time onestage pillar-based 3D detector, to simultaneously improve the detection accuracy and runtime efficiency while keeping the deployment in  ... 
arXiv:2302.02367v6 fatcat:ekmyobggczdvdbahrl5zdc2f7q

SimoSet: A 3D Object Detection Dataset Collected from Vehicle Hybrid Solid-State LiDAR

Xinyu Sun, Lisheng Jin, Yang He, Huanhuan Wang, Zhen Huo, Yewei Shi
2023 Electronics  
Three-dimensional (3D) object detection based on point cloud data plays a critical role in the perception system of autonomous driving.  ...  Finally, we provide baselines for LiDAR-only 3D object detection.  ...  The user-friendly advantages of PointPillars mean that it is a mainstream approach suitable for industrial deployment.  ... 
doi:10.3390/electronics12112424 fatcat:ieamq7ihdff4jdwfpplvpqwog4