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Multi-sensor fusion models play a crucial role in autonomous driving perception, particularly in tasks like 3D object detection and HD map construction.
“Deepinteraction: 3d object detection via modality interaction,”
Zeyu Yang, Jiaqi Chen, et al., · 2005
Earlier work this paper cites.
“nuscenes: A multimodal dataset for autonomous driving,”
Holger Caesar, Varun Bankiti, and ohters, · 2020
Earlier work this paper cites.
“Fog simulation on real lidar point clouds for 3d object detection in adverse weather,”
Martin Hahner, Christos Sakaridis, et al., · 2021
Earlier work this paper cites.
“Transfusion: Robust lidar-camera fusion for 3d object detection with transformers,”
Xuyang Bai, Zeyu Hu, et al., · 2022
Earlier work this paper cites.
“Hdmapnet: An online hd map construction and evaluation framework,”
Qi Li, Yue Wang, et al., · 2022
Earlier work this paper cites.
“Lidar snowfall simulation for robust 3d object detection,”
Martin Hahner, Christos Sakaridis, et al., · 2022
Earlier work this paper cites.
“Bevfusion: Multi-task multi-sensor fusion with unified bird’s eye view representation,”
Zhijian Liu, Tang, et al., · 2023
Earlier work this paper cites.
“Sparsefusion: Fusing multi-modal sparse representations for multi-sensor 3d object detection,”
Yichen Xie, Chenfeng Xu, et al., · 2023
Earlier work this paper cites.
“Cross modal transformer via coordinates encoding for 3d object dectection,”
Junjie Yan, Yingfei Liu, et al., · 2023
Cited alongside, same era.
“Vectormapnet: End-to-end vectorized hd map learning,”
Yicheng Liu, Tianyuan Yuan, et al., · 2023
Cited alongside, same era.
“Maptr: Structured modeling and learning for online vectorized hd map construction,”
Bencheng Liao, Shaoyu Chen, et al., · 2023
Cited alongside, same era.
“Robobev: Towards robust bird’s eye view perception under corruptions,”
Shaoyuan Xie, Lingdong Kong, et al., · 2023
Cited alongside, same era.
“Robo3d: Towards robust and reliable 3d perception against corruptions,”
Lingdong Kong, Youquan Liu, et al., · 2023
Cited alongside, same era.
“Unimix: Towards domain adaptive and generalizable lidar semantic segmentation in adverse weather,”
Haimei Zhao, Jing Zhang, et al., · 2024
Later among the works it cites.
“Is your hd map constructor reliable under sensor corruptions?,”
Xiaoshuai Hao, Mengchuan Wei, et al., · 2024
Later among the works it cites.
“Multicorrupt: A multi-modal robustness dataset and benchmark of lidar-camera fusion for 3d object detection,”
Till Beemelmanns, Quan Zhang, et al., · 2024
Later among the works it cites.
“Mbfusion: A new multi-modal bev feature fusion method for hd map construction,”
Xiaoshuai Hao, Hui Zhang, et al., · 2024
Later among the works it cites.
“Online vectorized hd map construction using geometry,”
Zhixin Zhang, Yiyuan Zhang, et al., · 2024
Later among the works it cites.
“Himap: Hybrid representation learning for end-to-end vectorized hd map construction,”
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“Understanding the robustness of 3d object detection with bird’s-eye-view representations in autonomous driving,”
Zijian Zhu, Yichi Zhang, et al., · 2023
Cited alongside, same era.
“3d semantic segmentation in the wild: Learning generalized models for adverse-condition point clouds,”
Aoran Xiao, Jiaxing Huang, et al., · 2023
Cited alongside, same era.
“Is-fusion: Instance-scene collaborative fusion for multimodal 3d object detection,”
Junbo Yin, Jianbing Shen, et al., · 2024
Cited alongside, same era.
Yi Zhou, Zhang, et al., · 2024
Later among the works it cites.
“Mapdistill: Boosting efficient camera-based hd map construction via camera-lidar fusion model distillation,”
Xiaoshuai Hao, Ruikai Li, et al., · 2025
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