Overview

3D object detection predicts what objects are present and where they are in three-dimensional space, often as labeled bounding boxes. Methods include LiDAR-based point, voxel, and pillar networks; camera systems that lift image features into bird’s-eye view; and fusion of cameras, LiDAR, and radar, sometimes with temporal or cooperative data from multiple vehicles. Researchers evaluate these approaches on driving benchmarks such as KITTI, nuScenes, and Waymo, as well as indoor, medical, aerial, and other specialized datasets. A central challenge is balancing accurate detection of small, distant, or occluded objects with efficient inference, limited labels, and reliability under changes in sensors, weather, and deployment conditions.

Latest papers

CardsList

181 papers14 papers in the last four weeks, down 30% on the four weeks before. 0.1% of all new papers.

  1. When the City Teaches the Car: Label-Free 3D Perception from Infrastructure

    Mar 17, 2026Zhen Xu, Jinsu Yoo, Cristian Bautista +7Autonomous Driving3D Object Detection

  2. Toward Deep Representation Learning for Event-Enhanced Visual Autonomous Perception: the eAP Dataset

    Mar 17, 2026Jinghang Li, Shichao Li, Qing Lian +3Autonomous Driving PerceptionAutonomous Driving Datasets

  3. AW-MoE: All-Weather Mixture of Experts for Robust Multi-Modal 3D Object Detection

    Mar 17, 2026Hongwei Lin, Xun Huang, Chenglu Wen +13D Object DetectionAutonomous Driving

  4. RadarXFormer: Robust Object Detection via Cross-Dimension Fusion of 4D Radar Spectra and Images for Autonomous Driving

    Mar 16, 2026Yue Sun, Yeqiang Qian, Zhe Wang +3Autonomous Driving Perception3D Object Detection

  5. A Prediction-as-Perception Framework for 3D Object Detection

    Mar 13, 2026Song Zhang, Haoyu Chen, Ruibo WangAutonomous Driving Perception3D Object Detection

  6. R4Det: 4D Radar-Camera Fusion for High-Performance 3D Object Detection

    Mar 12, 2026Zhongyu Xia, Yousen Tang, Yongtao Wang +23D Object DetectionCamera-Radar Fusion

  7. DRIFT: Dual-Representation Inter-Fusion Transformer for Automated Driving Perception with 4D Radar Point Clouds

    Mar 10, 2026Siqi Pei, Andras Palffy, Dariu M. GavrilaAutonomous Driving Perception3D Object Detection

  8. FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection

    Mar 9, 2026Anqi Joyce Yang, James Tu, Nikita Dvornik +23D Object DetectionAutonomous Driving Perception

  9. On the Feasibility and Opportunity of Autoregressive 3D Object Detection

    Mar 9, 2026Zanming Huang, Jinsu Yoo, Sooyoung Jeon +6Lidar-Based 3D Object Detection3D Object Detection

  10. RayD3D: Distilling Depth Knowledge Along the Ray for Robust Multi-View 3D Object Detection

    Mar 8, 2026Rui Ding, Zhaonian Kuang, Zongwei Zhou +3Multi-View 3D Object Detection3D Object Detection

  11. Multi-Modal Decouple and Recouple Network for Robust 3D Object Detection

    Mar 8, 2026Rui Ding, Zhaonian Kuang, Yuzhe Ji +33D Object DetectionMultimodal Object Detection

  12. Post Fusion Bird's Eye View Feature Stabilization for Robust Multimodal 3D Detection

    Mar 5, 2026Trung Tien Dong, Dev Thakkar, Arman Sargolzaei +1Multimodal Robustness3D Object Detection

  13. Fusion4CA: Boosting 3D Object Detection via Comprehensive Image Exploitation

    Mar 5, 2026Kang Luo, Xin Chen, Yangyi Xiao +13D Object DetectionCamera-LiDAR Fusion

  14. CoIn3D: Revisiting Configuration-Invariant Multi-Camera 3D Object Detection

    Mar 5, 2026Zhaonian Kuang, Rui Ding, Haotian Wang +3Multi-View 3D Object Detection3D Object Detection

  15. 3D-RFT: Reinforcement Fine-Tuning for Video-based 3D Scene Understanding

    Mar 5, 2026Xiongkun Linghu, Jiangyong Huang, Baoxiong Jia +13D Scene Understanding3D VLMs

  16. Person Detection and Tracking from an Overhead Crane LiDAR

    Mar 5, 2026Nilusha Jayawickrama, Henrik Toikka, Risto OjalaLidar-Based 3D Object Detection3D Object Detection

  17. EIMC: Efficient Instance-aware Multi-modal Collaborative Perception

    Mar 3, 2026Kang Yang, Peng Wang, Lantao Li +4Cooperative PerceptionCommunication-Efficient Collaborative Perception

  18. ModalPatch: A Plug-and-Play Module for Robust Multi-Modal 3D Object Detection under Modality Drop

    Mar 3, 2026Shuangzhi Li, Lei Ma, Xingyu Li3D Object DetectionMissing-Modality Learning

  19. Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning

    Feb 25, 2026Yushen He, Lei Zhao, Weidong Chen3D Object DetectionPseudo-Labeling

  20. SD4R: Sparse-to-Dense Learning for 3D Object Detection with 4D Radar

    Feb 24, 2026Xiaokai Bai, Jiahao Cheng, Songkai Wang +53D Object DetectionPoint Cloud Learning

  21. Boosting Instance Awareness via Cross-View Correlation with 4D Radar and Camera for 3D Object Detection

    Feb 24, 2026Xiaokai Bai, Lianqing Zheng, Si-Yuan Cao +63D Object DetectionCamera-Radar Fusion

  22. RADE-Net: Robust Attention Network for Radar-Only Object Detection in Adverse Weather

    Feb 23, 2026Christof Leitgeb, Thomas Puchleitner, Max Peter Ronecker +13D Object DetectionmmWave Radar Sensing

  23. Fore-Mamba3D: Mamba-based Foreground-Enhanced Encoding for 3D Object Detection

    Feb 23, 2026Zhiwei Ning, Xuanang Gao, Jiaxi Cao +53D Object DetectionMamba

  24. HyperDet: 3D Object Detection with Hyper 4D Radar Point Clouds

    Feb 12, 2026Yichun Xiao, Jin Jin, Runwei Guan +1Point Cloud CompletionmmWave Radar Sensing

  25. AsyncBEV: Cross-modal Flow Alignment in Asynchronous 3D Object Detection

    Jan 19, 2026Shiming Wang, Holger Caesar, Liangliang Nan +1Autonomous Driving Perception3D Object Detection

  26. Fast-BEV++: Fast by Algorithm, Deployable by Design

    Dec 9, 2025Yuanpeng Chen, Hui Song, Sheng Yang +5Autonomous Driving PerceptionBird's-Eye-View Representation

  27. PLOT: Pseudo-Labeling via Object Tracking for Monocular 3D Object Detection

    Jul 3, 2025Seokyeong Lee, Sithu Aung, Junyong Choi +33D Object DetectionPseudo-Labeling

  28. Teleoperated Driving: a New Challenge for 3D Object Detection in Compressed Point Clouds

    Jun 13, 2025Filippo Bragato, Michael Neri, Paolo Testolina +23D Object DetectionLidar-Based 3D Object Detection

  29. AutoExpert: Automating 3D LiDAR Annotation from Expert-Crafted Guidelines

    Jun 3, 2025Yechi Ma, Wei Hua, Shu KongAutonomous Driving DatasetsLidar-Based 3D Object Detection