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3D occupancy-based perception pipeline has significantly advanced autonomous driving by capturing detailed scene descriptions and demonstrating strong generalizability across various object categories and shapes.
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Maxim Berman, Amal Rannen Triki, and Matthew B Blaschko · 2018
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Automotive radar dataset for deep learning based 3d object detection
Michael Meyer and Georg Kuschk · 2019
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Deep learning based 3d object detection for automotive radar and camera
Michael Meyer and Georg Kuschk · 2019
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Jie Li, Yu Liu, Xia Yuan, Chunxia Zhao, Roland Siegwart, Ian Reid, and Cesar Cadena · 2019
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Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, and Ian Reid · 2019
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Pingping Zhang, Wei Liu, Yinjie Lei, Huchuan Lu, and Xiaoyun Yang · 2019
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Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
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Vehicle detection with automotive radar using deep learning on range-azimuth-doppler tensors
Bence Major, Daniel Fontijne, Amin Ansari, Ravi Teja Sukhavasi, Radhika Gowaikar, Michael Hamilton, Sean Lee, Slawomir Grzechnik, and Sundar Subramanian · 2019
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Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, and Raquel Urtasun · 2020
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Luis Roldao, Raoul de Charette, and Anne Verroust-Blondet · 2020
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Mimo radar for advanced driver-assistance systems and autonomous driving: Advantages and challenges
Shunqiao Sun, Athina P Petropulu, and H Vincent Poor · 2020
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Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
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Anisotropic convolutional networks for 3d semantic scene completion
Jie Li, Kai Han, Peng Wang, Yu Liu, and Xia Yuan · 2020
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3d sketch-aware semantic scene completion via semi-supervised structure prior
Xiaokang Chen, Kwan-Yee Lin, Chen Qian, Gang Zeng, and Hongsheng Li · 2020
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Object detection and 3d estimation via an fmcw radar using a fully convolutional network
Guoqiang Zhang, Haopeng Li, and Fabian Wenger · 2020
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Probabilistic oriented object detection in automotive radar
Xu Dong, Pengluo Wang, Pengyue Zhang, and Langechuan Liu · 2020
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Cnn based road user detection using the 3d radar cube
Andras Palffy, Jiaao Dong, Julian FP Kooij, and Dariu M Gavrila · 2020
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Polarstream: Streaming object detection and segmentation with polar pillars
Qi Chen, Sourabh Vora, and Oscar Beijbom · 2021
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S3cnet: A sparse semantic scene completion network for lidar point clouds
Ran Cheng, Christopher Agia, Yuan Ren, Xinhai Li, and Liu Bingbing · 2021
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Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion
Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, and Shuguang Cui · 2021
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Semi-supervised implicit scene completion from sparse lidar
Pengfei Li, Yongliang Shi, Tianyu Liu, Hao Zhao, Guyue Zhou, and Ya-Qin Zhang · 2021
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Semantic scene completion using local deep implicit functions on lidar data
Christoph B Rist, David Emmerichs, Markus Enzweiler, and Dariu M Gavrila · 2021
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4d automotive radar sensing for autonomous vehicles: A sparsity-oriented approach
Shunqiao Sun and Yimin D Zhang · 2021
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Rpfa-net: A 4d radar pillar feature attention network for 3d object detection
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3d detection and tracking for on-road vehicles with a monovision camera and dual low-cost 4d mmwave radars
Hang Cui, Junzhe Wu, Jiaming Zhang, Girish Chowdhary, and William R Norris · 2021
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Semantic scene completion via integrating instances and scene in-the-loop
Yingjie Cai, Xuesong Chen, Chao Zhang, Kwan-Yee Lin, Xiaogang Wang, and Hongsheng Li · 2021
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Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving
Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, and Jiwen Lu · 2023
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Scene as occupancy
Wenwen Tong, Chonghao Sima, Tai Wang, Li Chen, Silei Wu, Hanming Deng, Yi Gu, Lewei Lu, Ping Luo, Dahua Lin, et al · 2023
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Occformer: Dual-path transformer for vision-based 3d semantic occupancy prediction
Yunpeng Zhang, Zheng Zhu, and Dalong Du · 2023
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Ovo: Open-vocabulary occupancy
Zhiyu Tan, Zichao Dong, Cheng Zhang, Weikun Zhang, Hang Ji, and Hao Li · 2023
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Selfocc: Self-supervised vision-based 3d occupancy prediction
Yuanhui Huang, Wenzhao Zheng, Borui Zhang, Jie Zhou, and Jiwen Lu · 2023
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Raw high-definition radar for multi-task learning
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Cotr: Compact occupancy transformer for vision-based 3d occupancy prediction
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Cam4docc: Benchmark for camera-only 4d occupancy forecasting in autonomous driving applications
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Rcfusion: Fusing 4d radar and camera with bird’s-eye view features for 3d object detection
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Lxl: Lidar excluded lean 3d object detection with 4d imaging radar and camera fusion
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Seung-Hyun Kong, Dong-Hee Paek, and Sangjae Cho · 2023
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Hidden gems: 4d radar scene flow learning using cross-modal supervision
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