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Current Vehicle-to-Everything (V2X) systems have significantly enhanced 3D object detection using LiDAR and camera data.
Car2x-based perception in a high-level fusion architecture for cooperative perception systems
Andreas Rauch, Felix Klanner, Ralph Rasshofer, and Klaus Dietmayer · 2012
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Microscopic traffic simulation using sumo
Pablo Alvarez Lopez, Michael Behrisch, Laura Bieker-Walz, Jakob Erdmann, Yun-Pang Flötteröd, Robert Hilbrich, Leonhard Lücken, Johannes Rummel, Peter Wagner, and Evamarie Wiessner · 2018
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Collaborative automated driving: A machine learning-based method to enhance the accuracy of shared information
Zaydoun Yahya Rawashdeh and Zheng Wang · 2018
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SECOND: Sparsely Embedded Convolutional Detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds
Qi Chen, Sihai Tang, Qing Yang, and Song Fu · 2019
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Pointpillars: Fast encoders for object detection from point clouds
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
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3DSSD: Point-Based 3D Single Stage Object Detector
Zetong Yang, Yanan Sun, Shu Liu, and Jiaya Jia · 2020
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Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, and Houqiang Li · 2021
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Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
Martin Hahner, Christos Sakaridis, Dengxin Dai, and Luc Van Gool · 2021
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Robust multimodal vehicle detection in foggy weather using complementary lidar and radar signals
Kun Qian, Shilin Zhu, Xinyu Zhang, and Li Erran Li · 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
Baowei Xu, Xinyu Zhang, Li Wang, Xiaomei Hu, Zhiwei Li, Shuyue Pan, Jun Li, and Yongqiang Deng · 2021
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Rpfa-net: a 4d radar pillar feature attention network for 3d object detection
Baowei Xu, Xinyu Zhang, Li Wang, Xiaomei Hu, Zhiwei Li, Shuyue Pan, Jun Li, and Yongqiang Deng · 2021
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Opencda: an open cooperative driving automation framework integrated with co-simulation
Runsheng Xu, Yi Guo, Xu Han, Xin Xia, Hao Xiang, and Jiaqi Ma · 2021
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LiDAR Snowfall Simulation for Robust 3D Object Detection
Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, and Luc Van Gool · 2022
Cited alongside, same era.
Where2comm: Communication-efficient collaborative perception via spatial confidence maps
Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, and Siheng Chen · 2022
Cited alongside, same era.
Adafusion: Visual-lidar fusion with adaptive weights for place recognition
Haowen Lai, Peng Yin, and Sebastian Scherer · 2022
Cited alongside, same era.
Improved 3D Object Detector Under Snowfall Weather Condition Based on LiDAR Point Cloud
Jia Lin, Huilin Yin, Jun Yan, Wancheng Ge, Hao Zhang, and Gerhard Rigoll · 2022
Cited alongside, same era.
Multi-class road user detection with 3+ 1d radar in the view-of-delft dataset
Andras Palffy, Ewoud Pool, Srimannarayana Baratam, Julian FP Kooij, and Dariu M Gavrila · 2022
Cited alongside, same era.
Cross modal transformer: Towards fast and robust 3d object detection
Junjie Yan, Yingfei Liu, Jianjian Sun, Fan Jia, Shuailin Li, Tiancai Wang, and Xiangyu Zhang · 2023
Later among the works it cites.
Spatio-temporal domain awareness for multi-agent collaborative perception
Kun Yang, Dingkang Yang, Jingyu Zhang, Mingcheng Li, Yang Liu, Jing Liu, Hanqi Wang, Peng Sun, and Liang Song · 2023
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Bm2cp: Efficient collaborative perception with lidar-camera modalities
Binyu Zhao, Wei ZHANG, and Zhaonian Zou · 2023
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Rcfusion: Fusing 4-d radar and camera with bird’s-eye view features for 3-d object detection
Lianqing Zheng, Sen Li, Bin Tan, Long Yang, Sihan Chen, Libo Huang, Jie Bai, Xichan Zhu, and Zhixiong Ma · 2023
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Towards robust 3d object detection with lidar and 4d radar fusion in various weather conditions
Yujeong Chae, Hyeonseong Kim, and Kuk-Jin Yoon · 2024
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PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2022
Cited alongside, same era.
Interfusion: Interaction-based 4d radar and lidar fusion for 3d object detection
Li Wang, Xinyu Zhang, Baowei Xv, Jinzhao Zhang, Rong Fu, Xiaoyu Wang, Lei Zhu, Haibing Ren, Pingping Lu, Jun Li, and Huaping Liu · 2022
Cited alongside, same era.
Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication
Runsheng Xu, Hao Xiang, Xin Xia, Xu Han, Jinlong Li, and Jiaqi Ma · 2022
Cited alongside, same era.
Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection
Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, et al · 2022
Cited alongside, same era.
Benchmarking robustness of 3d object detection to common corruptions
Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, and Jun Zhu · 2023
Cited alongside, same era.
4d millimeter-wave radar in autonomous driving: A survey. arxiv 2023
Z Han, J Wang, Z Xu, S Yang, L He, S Xu, and J Wang · 2023
Cited alongside, same era.
St-mvdnet++: Improve vehicle detection with lidar-radar geometrical augmentation via self-training
Yu-Jhe Li, Matthew O’Toole, and Kris Kitani · 2023
Cited alongside, same era.
Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer, Ross Greer, Christian Creß, Andreas Møgelmose, Mohan M Trivedi, and Alois C Knoll · 2024
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Communication-efficient collaborative perception via information filling with codebook
Yue Hu, Juntong Peng, Sifei Liu, Junhao Ge, Si Liu, and Siheng Chen · 2024
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Sparse focus network for multi-source remote sensing data classification
Xuepeng Jin, Junyan Lin, Feng Gao, Lin Qi, and Yang Zhou · 2024
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Boosting spatial-spectral masked auto-encoder through mining redundant spectra for hsi-sar/lidar classification
Junyan Lin, Xuepeng Jin, Feng Gao, Junyu Dong, and Hui Yu · 2024
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Macp: Efficient model adaptation for cooperative perception
Yunsheng Ma, Juanwu Lu, Can Cui, Sicheng Zhao, Xu Cao, Wenqian Ye, and Ziran Wang · 2024
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Sicp: Simultaneous individual and cooperative perception for 3d object detection in connected and automated vehicles, 2024
Deyuan Qu, Qi Chen, Tianyu Bai, Hongsheng Lu, Heng Fan, Hao Zhang, Song Fu, and Qing Yang · 2024
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Lirafusion: Deep adaptive lidar-radar fusion for 3d object detection
Jingyu Song, Lingjun Zhao, and Katherine A Skinner · 2024
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Commonsense prototype for outdoor unsupervised 3d object detection
Hai Wu, Shijia Zhao, Xun Huang, Chenglu Wen, Xin Li, and Cheng Wang · 2024
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Hinted: Hard instance enhanced detector with mixed-density feature fusion for sparsely-supervised 3d object detection
Qiming Xia, Wei Ye, Hai Wu, Shijia Zhao, Leyuan Xing, Xun Huang, Jinhao Deng, Xin Li, Chenglu Wen, and Cheng Wang · 2024
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Diffusionmtl: Learning multi-task denoising diffusion model from partially annotated data
Hanrong Ye and Dan Xu · 2024
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Safdnet: A simple and effective network for fully sparse 3d object detection
Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Si Liu, and Xiaolin Hu · 2024
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Tumtraf v2x cooperative perception dataset
Walter Zimmer, Gerhard Arya Wardana, Suren Sritharan, Xingcheng Zhou, Rui Song, and Alois C Knoll · 2024
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Cmd: A cross mechanism domain adaptation dataset for 3d object detection
Jinhao Deng, Wei Ye, Hai Wu, Xun Huang, Qiming Xia, Xin Li, Jin Fang, Wei Li, Chenglu Wen, and Cheng Wang · 2025
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