Vehicle Detection from 3D Lidar Using Fully Convolutional Network

Li, Bo, Zhang, Tianlei, Xia, Tian·2016·Robotics: Science and Systems XII

Cited by (576)

Items 201–300 of 576

  1. A Review on Intelligent Control Theory and Applications in Process Optimization and Smart Manufacturing
    Min-Fan Ricky Lee · 2023 · Processes
  2. Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement
    Shuangzhi Li, Zhijie Wang, Felix Juefei-Xu, Qing Guo, Xingyu Li, Lei Ma · 2023 · IEEE Transactions on Multimedia
  3. Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation
    Muhammad Junaid, Mubeen Ghafoor, Ali Hassan, Shehzad Khalid, Syed Ali Tariq, Ghufran Ahmed, Tehseen Zia · 2020 · IEEE Access
  4. SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation
    Xidong Peng, Xinge Zhu, Tai Wang, Yuexin Ma · 2022 · IEEE Winter Conference on Applications of Computer Vision
  5. Real-Time Point Cloud Object Detection via Voxel-Point Geometry Abstraction
    Guangsheng Shi, Ke Wang, Ruifeng Li, Chao Ma · 2023 · IEEE Transactions on Intelligent Transportation Systems
  6. Survey and systematization of 3D object detection models and methods
    Moritz Drobnitzky, Jonas Friederich, Bernhard Egger, Patrick Zschech · 2023 · The Visual Computer
  7. CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers
    Yi Rong, Haoran Zhou, Lixin Yuan, Cheng Mei, Jiahao Wang, Tong Lu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  8. A Systematic Survey of Transformer-Based 3D Object Detection for Autonomous Driving: Methods, Challenges and Trends
    Minling Zhu, Yadong Gong, Chunwei Tian, Zuyuan Zhu · 2024 · Drones
  9. Augmented Multiple Vehicles’ Trajectories Extraction Under Occlusions With Roadside LiDAR Data
    Xiuguang Song, Rendong Pi, Chen Lv, Jianqing Wu, Han Zhang, Hao Zheng, Jianhong Jiang, Haidong He · 2021 · IEEE Sensors Journal
  10. Deep Learning for Visual Navigation of Unmanned Ground Vehicles : A review
    Niall O’Mahony, Sean Campbell, Lenka Krpálková, Daniel Riordan, Joseph L. Walsh, Aidan Murphy, Conor Ryan · 2018 · Irish Signals and Systems Conference
  11. Deep Learning Inspired Object Consolidation Approaches Using LiDAR Data for Autonomous Driving: A Review
    Mahammad Shareef Mekala, Woongkyu Park, Gaurav Dhiman, Gautam Srivastava, Ju H. Park, Ho-Youl Jung · 2021 · Archives of Computational Methods in Engineering
  12. Auto4D: Learning to Label 4D Objects from Sequential Point Clouds
    Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun · 2021 · arXiv (Cornell University)
  13. Deep LiDAR-Radar-Visual Fusion for Object Detection in Urban Environments
    Yuhan Xiao, Yufei Liu, Kai Luan, Yuwei Cheng, Xieyuanli Chen, Huimin Lu · 2023 · Remote Sensing
  14. VANET Meets Deep Learning: The Effect of Packet Loss on the Object Detection Performance
    Yuhao Wang, Vlado Menkovski, Ivan Wang‐Hei Ho, Mykola Pechenizkiy · 2019 · IEEE Vehicular Technology Conference
  15. KDA3D: Key-Point Densification and Multi-Attention Guidance for 3D Object Detection
    Jiarong Wang, Ming Bo Zhu, Bo Wang, Deyao Sun, Wei Hua, Changji Liu, Haitao Nie · 2020 · Remote Sensing
  16. A Review of LiDAR-Based 3D Object Detection via Deep Learning Approaches Towards Robust Connected and Autonomous Vehicles
    Nang Htet Htet Aung, Paramin Sangwongngam, Rungroj Jintamethasawat, Shashi Shah, Lunchakorn Wuttisittikulkij · 2024 · IEEE Transactions on Intelligent Vehicles
  17. Multi-feature Fusion VoteNet for 3D Object Detection
    Zhoutao Wang, Qian Xie, Mingqiang Wei, Kun Long, Jun Wang · 2022 · ACM Transactions on Multimedia Computing Communications and Applications
  18. MCF3D: Multi-Stage Complementary Fusion for Multi-Sensor 3D Object Detection
    Jiarong Wang, Ming Zhu, Deyao Sun, Bo Wang, Wen Gao, Wei Hua · 2019 · IEEE Access
  19. Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features
    Arthur Daniel Costea, Robert Varga, Sergiu Nedevschi · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  20. Multivehicle Multisensor Occupancy Grid Maps (MVMS-OGM) for Autonomous Driving
    Xinhu Zheng, Yuru Li, Dongliang Duan, Liuqing Yang, Chen Chen, Xiang Cheng · 2022 · IEEE Internet of Things Journal
  21. Target Classification for 3D-ISAR Using CNNs
    Chow Yii Pui, Brian W.‐H. Ng, Luke Rosenberg, Tri–Tan Cao · 2023 · IEEE Transactions on Aerospace and Electronic Systems
  22. Efficient 3D LIDAR based loop closing using deep neural network
    Huan Yin, Xiaqing Ding, Li Tang, Yue Wang, Rong Xiong · 2017 · IEEE International Conference on Robotics and Biomimetics (ROBIO)
  23. Adaptive Multimodal Localisation Techniques for Mobile Robots in Unstructured Environments : A Review
    Niall O’Mahony, Sean Campbell, Anderson Luiz De Carvalho, Suman Harapanahalli, Gustavo Velasco-Hernandez, Daniel Riordan, Joseph L. Walsh · 2019 · IEEE World Forum on Internet of Things (WF-IoT)
  24. CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
    Deyu Yin, Qian Zhang, Jingbin Liu, Xinlian Liang, Yunsheng Wang, Jyri Maanpää, Hao Ma, Juha M. Hyyppa, Ruizhi Chen · 2020 · arXiv (Cornell University)
  25. VoxT-GNN: A 3D object detection approach from point cloud based on voxel-level transformer and graph neural network
    Qiangwen Zheng, Sheng Wu, Jinghui Wei · 2025 · Information Processing & Management
  26. FFPointNet: Local and global fused feature for 3D point clouds analysis
    Saifullahi Aminu Bello, Cheng Wang, Naftaly Muriuki Wambugu, Jibril Muhammad Adam · 2021 · Neurocomputing
  27. The Fusion Strategy of 2D and 3D Information Based on Deep Learning: A Review
    Jianghong Zhao, Yinrui Wang, Yuee Cao, Ming Guo, Xianfeng Huang, Ruiju Zhang, Xintong Dou, Xinyu Niu, Yuanyuan Cui, Jun Wang · 2021 · Remote Sensing
  28. RGB-D Image-Based Object Detection: From Traditional Methods to Deep Learning Techniques
    Isaac Ronald Ward, Hamid Laga, Mohammed Bennamoun · 2019 · Advances in computer vision and pattern recognition
  29. RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting
    Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl Wellington · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  30. Learning to Drop Points for LiDAR Scan Synthesis
    Kazuto Nakashima, Ryo Kurazume · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  31. Extracting geometric and semantic point cloud features with gateway attention for accurate 3D object detection
    Huaijin Liu, Ji‐Xiang Du, Yong Zhang, Hongbo Zhang · 2023 · Engineering Applications of Artificial Intelligence
  32. An efficient 3D object detection method based on Fast Guided Anchor Stereo RCNN
    Chongben Tao, Chunlin Cao, Hanjing Cheng, Zhen Gao, Xizhao Luo, Zuofeng Zhang, Sifa Zheng · 2023 · Advanced Engineering Informatics
  33. Deep End-to-end 3D Person Detection from Camera and Lidar
    Markus Roth, Dominik Jargot, Dariu M. Gavrila · 2019 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  34. Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking
    Peiliang Li, Jieqi Shi, Shaojie Shen · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  35. milliEgo: Single-chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion
    Chris Xiaoxuan Lu, Muhamad Risqi U. Saputra, Peijun Zhao, Yasin Almalıoğlu, Pedro Porto Buarque de Gusmão, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham · 2020 · arXiv (Cornell University)
  36. Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection
    Na Zhao, Gim Hee Lee · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
  37. LiDAR Super-Resolution Based on Segmentation and Geometric Analysis
    Di Tian, Dangjun Zhao, Dongyang Cheng, Junchao Zhang · 2022 · IEEE Transactions on Instrumentation and Measurement
  38. A novel static deformation measurement and visualization method for wind turbine blades using home-made LiDAR and processing program
    Wei Luo, Jiahui Li, Xiaofeng Ma, Wei Wei · 2020 · Optics and Lasers in Engineering
  39. Temporal Pulses Driven Spiking Neural Network for Time and Power Efficient Object Recognition in Autonomous Driving
    Wei Wang, Shibo Zhou, Jingxi Li, Xiaohua Li, Junsong Yuan, Zhanpeng Jin · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  40. A Survey of 3D Point Cloud and Deep Learning-Based Approaches for Scene Understanding in Autonomous Driving
    Lele Wang, Yingping Huang · 2021 · IEEE Intelligent Transportation Systems Magazine
  41. An Efficient Approach to Monocular Depth Estimation for Autonomous Vehicle Perception Systems
    Mehrnaz Farokhnejad Afshar, Zahra Shirmohammadi, S. AmirAli Gh. Ghahramani, Azadeh Noorparvar, Ali Mohammad Afshin Hemmatyar · 2023 · Sustainability
  42. A Robust Vehicle Detection Approach based on Faster R-CNN Algorithm
    Ali Tourani, Sajjad Soroori, Asadollah Shahbahrami, Saeed Khazaee, Alireza Akoushideh · 2019
  43. Prioritized Transmission Control of Point Cloud Data Obtained by LIDAR Devices
    Kei-ichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki, Takanori Iwai, Dai Kanetomo, Kozo Satoda · 2020 · IEEE Access
  44. A Pedestrian Detection Algorithm Based on Score Fusion for Multi-LiDAR Systems
    Tao Wu, Jun Peng Hu, Lei Ye, Kai Ding · 2021 · Sensors
  45. Realtime Single-Shot Refinement Neural Network With Adaptive Receptive Field for 3D Object Detection From LiDAR Point Cloud
    Yutian Wu, Shuwei Zhang, Harutoshi Ogai, Hiroshi Inujima, Shigeyuki Tateno · 2021 · IEEE Sensors Journal
  46. LSNet: Learned Sampling Network for 3D Object Detection from Point Clouds
    Mingming Wang, Qingkui Chen, Zhibing Fu · 2022 · Remote Sensing
  47. An Energy-Efficient Stream-Based FPGA Implementation of Feature Extraction Algorithm for LiDAR Point Clouds With Effective Local-Search
    Hao Sun, Qi Deng, Xinzhe Liu, Yuhao Shu, Yajun Ha · 2022 · IEEE Transactions on Circuits and Systems I Regular Papers
  48. Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data
    Pan, Yancheng, Xie, Fan, Zhao, Huijing · 2023 · IEEE Transactions on Intelligent Transportation Systems
  49. Computer vision based first floor elevation estimation from mobile LiDAR data
    Jiahao Xia, Jie Gong · 2024 · Automation in Construction
  50. Real-Time Deep ConvNet-Based Vehicle Detection Using 3D-LIDAR Reflection Intensity Data
    Alireza Asvadi, Luís Garrote, Cristiano Premebida, Paulo Peixoto, Urbano Nunes · 2017 · Advances in intelligent systems and computing
  51. A 3D Multiobject Tracking Algorithm of Point Cloud Based on Deep Learning
    Dengjiang Wang, Chao Huang, Yajun Wang, Yongqiang Deng, Hongqiang Li · 2020 · Mathematical Problems in Engineering
  52. Resource-Constrained Onboard Inference of 3D Object Detection and Localisation in Point Clouds Targeting Self-Driving Applications
    António Silva, Duarte Fernandes, Rafael Névoa, Joao L. Monteiro, Paulo Nováis, Pedro Girão, Tiago Afonso, Pedro Melo‐Pinto · 2021 · Sensors
  53. Deep Lidar CNN to Understand the Dynamics of Moving Vehicles
    Victor Vaquero, Alberto Sanfeliu, Francesc Moreno-Noguer · 2018 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  54. UniBEVFusion: Unified Radar-Vision Bevfusion for 3D Object Detection
    Haocheng Zhao, Runwei Guan, Taoyu Wu, Ka Lok Man, Limin Yu, Yutao Yue · 2025 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  55. An Accurate Point Cloud-Based Human Identification Using Micro-Size LiDAR
    Shota Yamada, Hamada Rizk, Hirozumi Yamaguchi · 2022 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
  56. Dynamic Multitarget Detection Algorithm of Voxel Point Cloud Fusion Based on PointRCNN
    Xizhao Luo, Feng Zhou, Chongben Tao, Anjia Yang, Peiyun Zhang, Yonghua Chen · 2022 · IEEE Transactions on Intelligent Transportation Systems
  57. Surround-View Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-Insensitive Multi-Task Framework
    Zizhang Wu, Yuanzhu Gan, Xianzhi Li, Yunzhe Wu, Xiaoquan Wang, Tianhao Xu, Fan Wang · 2022 · IEEE Transactions on Intelligent Vehicles
  58. HFT: Lifting Perspective Representations via Hybrid Feature Transformation for BEV Perception
    Jiayu Zou, Zheng Hong Zhu, Junjie Huang, Tian Yang, Guan Huang, Xingang Wang · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  59. MENet: Multi-Modal Mapping Enhancement Network for 3D Object Detection in Autonomous Driving
    Moyun Liu, Youping Chen, Jingming Xie, Yijie Zhu, Yang Zhang, Lei Yao, Zhenshan Bing, Genghang Zhuang, Kai Huang, Joey Tianyi Zhou · 2024 · IEEE Transactions on Intelligent Transportation Systems
  60. Computer Vision for 3D Perception
    Niall O’Mahony, Sean Campbell, Lenka Krpálková, Daniel Riordan, Joseph L. Walsh, Aidan Murphy, Conor Ryan · 2018 · Advances in intelligent systems and computing
  61. Vehicle Speed Monitoring using Convolutional Neural Networks
    Vitor Bruno de Oliveira Barth, Ricardo de Oliveira, Mario De Oliveira, Vagner do Nascimento · 2019 · IEEE Latin America Transactions
  62. Fusing Bird View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection
    Zining Wang, Wei Zhan, Masayoshi Tomizuka · 2017 · arXiv (Cornell University)
  63. A survey of Object Classification and Detection based on 2D/3D data
    Xiaoke Shen · 2019 · arXiv (Cornell University)
  64. RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving
    Mohamed Ramzy, Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani · 2019 · arXiv (Cornell University)
  65. Overview of LiDAR point cloud target detection methods based on deep learning
    Siyuan Huang, Limin Liu, Xiongjun Fu, Jian Dong, Fuyu Huang, Ping Lang · 2022 · Sensor Review
  66. LiDAR-Based Intensity-Aware Outdoor 3D Object Detection
    Ammar Yasir Naich, Jesús Requena Carrión · 2024 · Sensors
  67. DAPnet: A Double Self-Attention Convolutional Network for Point Cloud Semantic Labeling
    Li Chen, Weiye Chen, Zewei Xu, Haozhe Huang, Shaowen Wang, Qing Zhu, Haifeng Li · 2021 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  68. 3DYOLO: Real-time 3D Object Detection in 3D Point Clouds for Autonomous Driving
    M V Priya, Dhanya S Pankaj · 2021 · IEEE India Geoscience and Remote Sensing Symposium (InGARSS)
  69. Improving Map Re-localization with Deep ‘Movable’ Objects Segmentation on 3D LiDAR Point Clouds
    Victor Vaquero, Kai Fischer, Francesc Moreno-Noguer, Alberto Sanfeliu, Stefan Milz · 2019 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  70. StrObe: Streaming Object Detection from LiDAR Packets
    Davi Frossard, Suo, Simon, Sergio Casas, James Tu, Hu, Rui, Raquel Urtasun · 2020 · arXiv (Cornell University)
  71. 3D Vehicle Detection Based on LiDAR and Camera Fusion
    Yingfeng Cai, Tiantian Zhang, Hai Wang, Yicheng Li, Qingchao Liu, Xiaobo Chen · 2019 · Automotive Innovation
  72. On Enhancing Ground Surface Detection from Sparse Lidar Point Cloud
    Bo Li · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  73. DeepPCT: Single Object Tracking in Dynamic Point Cloud Sequences
    Hao Liu, Qingyong Hu, Yanni Ma, Kai Xie, Yulan Guo · 2022 · IEEE Transactions on Instrumentation and Measurement
  74. SIUNet: Sparsity Invariant U-Net for Edge-Aware Depth Completion
    Avinash Nittur Ramesh, Fabio Giovanneschi, Maria Antonia Gonzalez-Huici · 2023 · IEEE Winter Conference on Applications of Computer Vision
  75. LSMCL: Long-term Static Mapping and Cloning Localization for autonomous robot navigation using 3D LiDAR in dynamic environments
    Yu‐Cheol Lee · 2023 · Expert Systems with Applications
  76. Distributed intelligence in industrial and automotive cyber–physical systems: a review
    Nikos Piperigkos, Αλέξανδρος Γκίλλας, Gerasimos Arvanitis, Stavros Nousias, Aris S. Lalos, Apostolos P. Fournaris, Panagiotis I. Radoglou Grammatikis, Panagiotis G. Sarigiannidis, Κωνσταντίνος Μουστάκας · 2024 · Frontiers in Robotics and AI
  77. Accident vehicle types classification: a comparative study between different deep learning models
    Mardin A. Anwer, Shareef M. Shareef, Abbas M. Ali · 2021 · Indonesian Journal of Electrical Engineering and Computer Science
  78. LiDAR point-cloud processing based on projection methods: a comparison
    Guidong Yang, Simone Mentasti, Mattia Bersani, Yafei Wang, Francesco Braghin, Federico Cheli · 2020 · AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)
  79. 3D Recognition Based on Sensor Modalities for Robotic Systems: A Survey
    Sumaira Manzoor, Sung-Hyeon Joo, Eunjin Kim, Sang-Hyeon Bae, Gun-Gyo In, Jeong-Won Pyo, Tae‐Yong Kuc · 2021 · Sensors
  80. CVFNet: Real-time 3D Object Detection by Learning Cross View Features
    Jiaqi Gu, Zhiyu Xiang, Pan Zhao, Tingming Bai, Lingxuan Wang, Xijun Zhao, Zhiyuan Zhang · 2022 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  81. SliceNets — A Scalable Approach for Object Detection in 3D CT Scans
    Anqi Yang, Feng Pan, Vishwanath Saragadam, Duy Long Dao, Zhuo Hui, Jen-Hao Rick Chang, Aswin C. Sankaranarayanan · 2021 · IEEE Winter Conference on Applications of Computer Vision
  82. Deformable Filter Convolution for Point Cloud Reasoning
    Yuwen Xiong, Mengye Ren, Renjie Liao, Wong, Kelvin, Raquel Urtasun · 2019 · arXiv (Cornell University)
  83. Multiview CNN Model for Sensor Fusion Based Vehicle Detection
    Zhenchao Ouyang, Chunyuan Wang, Yu Liu, Jianwei Niu · 2018 · Lecture notes in computer science
  84. LiSeg: Lightweight Road-object Semantic Segmentation In 3D LiDAR Scans For Autonomous Driving
    Wenquan Zhang, Chancheng Zhou, Junjie Yang, Kai Huang · 2018 · IEEE Intelligent Vehicles Symposium
  85. Deep Generative Modeling of LiDAR Data
    Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joëlle Pineau · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  86. Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration
    Yuhang He, Wentao Yu, Jie Han, Xing Wei, Xiaopeng Hong, Yihong Gong · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  87. Deep Learning Based Point Cloud Processing Techniques
    Abdurrahman Hazer, Remzi Yıldırım · 2022 · IEEE Access
  88. Pedestrian-Detection Method based on 1D-CNN during LiDAR Rotation
    Yuki Kunisada, Takayoshi Yamashita, Hironobu Fujiyoshi · 2018 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  89. Real-Time 3D Object Detection From Point Cloud Through Foreground Segmentation
    Bo Wang, Ming Zhu, Ying Lü, Jiarong Wang, Wen Gao, Wei Hua · 2021 · IEEE Access
  90. RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation
    Ziru Li, Bing Li, Zichen Fan, Hai Helen Li · 2020 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  91. Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection
    Ehsan Emad Marvasti, Arash Raftari, Amir Emad Marvasti, Yaser P. Fallah · 2020 · IEEE Connected and Automated Vehicles Symposium (CAVS)
  92. A LiDAR Multi-Object Detection Algorithm for Autonomous Driving
    Shuqi Wang, Meng Chen · 2023 · Applied Sciences
  93. A Self-Calibrating Probabilistic Framework for 3D Environment Perception Using Monocular Vision
    Razvan Itu, Radu Gabriel Danescu · 2020 · Sensors
  94. Improving Distant 3D Object Detection Using 2D Box Supervision
    Zetong Yang, Zhiding Yu, Christopher Choy, Renhao Wang, Animashree Anandkumar, José Manuel Álvarez · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  95. MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations
    Daniel Bogdoll, Yitian Yang, Tim Joseph, Melih Yazgan, J. Marius Zöllner · 2025 · IEEE Intelligent Vehicles Symposium
  96. LidarGait++: Learning Local Features and Size Awareness from LiDAR Point Clouds for 3D Gait Recognition
    Chuanfu Shen, Rui Wang, Lixin Duan, Shiqi Yu · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  97. A New 3D Object Pose Detection Method Using LIDAR Shape Set
    Jung-Un Kim, Hang-Bong Kang · 2018 · Sensors
  98. MVDCANet: An End-to-End Self-Attention-Based Multiview-Dualchannel 3D Object Detection
    Xinwen Gao, Daojun Hu · 2021 · IEEE Sensors Journal
  99. 3D Vehicle Detection Using Cheap LiDAR and Camera Sensors
    Sabeeha Mehtab, Wei Qi Yan, Ajit Narayanan · 2021 · International Conference on Image and Vision Computing New Zealand (IVCNZ)
  100. MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
    Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings