Vision meets robotics: The KITTI dataset

Cited by (1,028)

Items 301–400 of 1,028

1. CNN-Based Lidar Point Cloud De-Noising in Adverse Weather
   Robin Heinzler, Florian Piewak, Philipp Schindler, Wilhelm Stork · 2020 · IEEE Robotics and Automation Letters
2. Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving
   Junyao Guo, Unmesh Kurup, Mohak Shah · 2019 · IEEE Transactions on Intelligent Transportation Systems
3. Learning Image Representations Tied to Ego-Motion
   Dinesh Jayaraman, Kristen Lorraine Grauman · 2015 · IEEE/CVF International Conference on Computer Vision (ICCV)
4. One Million Scenes for Autonomous Driving: ONCE Dataset
   Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jing‐Heng Chen, Xiaodan Liang, Ya‐Min Li, Chaoqiang Ye, Zhang, Wei, Zhenguo Li et al. · 2021 · arXiv (Cornell University)
5. Soft Labels for Ordinal Regression
   Raúl Díaz, Amit Marathe · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
6. Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges
   Zablocki, Éloi, Ben-Younes, Hédi, Pérez, Patrick, Cord, Matthieu · 2022 · International Journal of Computer Vision
7. Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
   Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
8. Deep Learning on Point Clouds and Its Application: A Survey
   Weiping Liu, Jia Sun, Wanyi Li, Ting Hu, Peng Wang · 2019 · Sensors
9. MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
   Vibashan VS, Vikram Gupta, Poojan Oza, Vishwanath A. Sindagi, Vishal M. Patel · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
10. A comprehensive and systematic look up into deep learning based object detection techniques: A review
    Vipul Sharma, R. N. Mir · 2020 · Computer Science Review
11. MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
    Xingyu Liu, Mengyuan Yan, Jeannette Bohg · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
12. Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction
    Guanglei Yang, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
13. Recent advances in lensless imaging
    Vivek Boominathan, Jacob T. Robinson, Laura Waller, Ashok Veeraraghavan · 2021 · Optica
14. Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks
    Khan Muhammad, Tanveer Hussain, Hayat Ullah, Javier Del Ser, Mahdi Rezaei, Neeraj Kumar, Mohammad Hijji, Paolo Bellavista, Victor Hugo C. de Albuquerque · 2022 · IEEE Transactions on Intelligent Transportation Systems
15. Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis
    Ben Fei, Weidong Yang, Wen‐Ming Chen, Zhijun Li, Yikang Li, Tao Ma, Xing Hu, Lipeng Ma · 2022 · IEEE Transactions on Intelligent Transportation Systems
16. Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation
    Zhuang, Zhuangwei, Li, Rong, Jia, Kui, Wang, Qicheng, Li, Yuanqing, Tan, Mingkui · 2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
17. Parallel testing of vehicle intelligence via virtual-real interaction
    Li Li, Xiao Wang, Kunfeng Wang, Yilun Lin, Jingmin Xin, Long Fei Chen, Linhai Xu, Bin Tian, Yunfeng Ai, Jian Wang et al. · 2019 · Science Robotics
18. GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences
    Prune Truong, Martin Danelljan, Radu Timofte · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
19. Multi-Modal 3D Object Detection in Autonomous Driving: A Survey
    Yingjie Wang, Qiuyu Mao, Hanqi Zhu, Jiajun Deng, Yu Zhang, Jianmin Ji, Houqiang Li, Yanyong Zhang · 2023 · International Journal of Computer Vision
20. Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles
    Eshed Ohn-Bar, Mohan Manubhai Trivedi · 2016 · IEEE Transactions on Intelligent Vehicles
21. Unsupervised Scale-Consistent Depth Learning from Video
    Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming‐Ming Cheng, Ian D. Reid · 2021 · International Journal of Computer Vision
22. A survey of quaternion neural networks
    Titouan Parcollet, Mohamed Morchid, Georges Linarès · 2019 · Artificial Intelligence Review
23. Learning to Fly—a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
    Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Y. Xu, Amanda Prorok, Angela P. Schoellig · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
24. Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
    Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada · 2022 · IEEE Robotics and Automation Letters
25. Learning Monocular Depth by Distilling Cross-Domain Stereo Networks
    Xiaoyang Guo, Hongsheng Li, Shuai Yi, Jimmy Ren, Xiaogang Wang · 2018 · Lecture notes in computer science
26. SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
    Sudeep Pillai, Rareş Ambruş, Adrien Gaidon · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
27. ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion
    Zhanbo Huang, Jinyuan Liu, Xin Fan, Risheng Liu, Wei Zhong, Zhongxuan Luo · 2022 · Lecture notes in computer science
28. A RUGD Dataset for Autonomous Navigation and Visual Perception in Unstructured Outdoor Environments
    Maggie Wigness, Sungmin Eum, John G. Rogers, David K. Han, Heesung Kwon · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
29. Progressive LiDAR adaptation for road detection
    Chen, Zhe, Zhang, Jing, Tao, Dacheng · 2019 · IEEE/CAA Journal of Automatica Sinica
30. Data-Efficient Decentralized Visual SLAM
    Titus Cieslewski, Siddharth Choudhary, Davide Scaramuzza · 2018 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
31. End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
    Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei‐Lun Chao · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
32. NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
    Holger Caesar, Juraj Kabzan, Kok Seang Tan, Whye Kit Fong, Eric M. Wolff, Alex Lang, Fletcher, Luke, Oscar Beijbom, Sammy Omari · 2021 · arXiv (Cornell University)
33. SGAS: Sequential Greedy Architecture Search
    Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Muller, Ali Thabet, Bernard Ghanem · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
34. SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer
    Haoran Zhou, Yun Cao, Wenqing Chu, Jun‐Wei Zhu, Tong Lü, Ying Yu Tai, Chengjie Wang · 2022 · Lecture notes in computer science
35. Real-Time Hybrid Multi-Sensor Fusion Framework for Perception in Autonomous Vehicles
    Babak Shahian Jahromi, Theja Tulabandhula, Sabri Cetin · 2019 · Sensors
36. Visual Odometry Revisited: What Should Be Learnt?
    Zhan, Huangying, Weerasekera, Chamara Saroj, Bian, Jia-Wang, Reid, Ian · 2020 · 2020 IEEE International Conference on Robotics and Automation (ICRA)
37. Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth
    Rui Wang, Stephen M. Pizer, Jan‐Michael Frahm · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
38. Prior-Based Domain Adaptive Object Detection for Hazy and Rainy Conditions
    Vishwanath A. Sindagi, Poojan Oza, Rajeev Yasarla, Vishal M. Patel · 2020 · Lecture notes in computer science
39. Structure-Guided Ranking Loss for Single Image Depth Prediction
    Ke Xian, Jianming Zhang, Oliver Wang, Long Mai, Zhe Lin, Zhiguo Cao · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
40. Unsupervised Learning of Multi-Frame Optical Flow with Occlusions
    Joel Janai, Fatma Güney, Anurag Ranjan, Michael J. Black, Andreas Geiger · 2018 · Lecture notes in computer science
41. NTU VIRAL: A visual-inertial-ranging-lidar dataset, from an aerial vehicle viewpoint
    Thien‐Minh Nguyen, Shenghai Yuan, Muqing Cao, Yang Lyu, Thien Hoang Nguyen, Lihua Xie · 2021 · The International Journal of Robotics Research
42. SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
    Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
43. Predicting Future Frames Using Retrospective Cycle GAN
    Yong-Hoon Kwon, Min-Gyu Park · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
44. Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles
    Manuel Martín, Alina Roitberg, Monica Haurilet, Matthias Horne, Simon Reiß, Michael Voit, Rainer Stiefelhagen · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
45. AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance
    İlker Bozcan, Erdal Kayacan · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
46. Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection for Autonomous Driving
    Zhenxun Yuan, Xiao Song, Lei Bai, Zhe Wang, Wanli Ouyang · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
47. Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
    Vitor Guizilini, Rui Hou, Jie Li, Rareş Ambruş, Adrien Gaidon · 2020 · arXiv (Cornell University)
48. Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
    Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles · 2020 · IEEE Robotics and Automation Letters
49. Long-Term Visual Localization Revisited
    Carl Toft, Will Maddern, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Šivic, Tomáš Pajdla et al. · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
50. Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds
    Siyuan Huang, Yichen Xie, Song Chun Zhu, Yixin Zhu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
51. Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
    Qiangeng Xu, Yiqi Zhong, Ulrich Neumann · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
52. S-PTAM: Stereo Parallel Tracking and Mapping
    Taihú Pire, T. Fischer, Gastón I. Castro, P. Cristóforis, Javier Civera, J. Jacobo-Berlles · 2017 · Robotics Auton. Syst.
53. Learning Image Matching by Simply Watching Video
    Gucan Long, Laurent Kneip, José Manuel Álvarez, Hongdong Li, Xiaohu Zhang, Qifeng Yu · 2016 · Lecture notes in computer science
54. Deep Fundamental Matrix Estimation
    René Ranftl, Vladlen Koltun · 2018 · Lecture notes in computer science
55. Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention
    Ashutosh Agarwal, Chetan Arora · 2023 · IEEE Winter Conference on Applications of Computer Vision
56. Object Scene Flow
    Moritz Menze, Christian Heipke, Andreas Geiger · 2017 · ISPRS Journal of Photogrammetry and Remote Sensing
57. Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation
    Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Yu Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
58. Multi-Object Detection and Tracking, Based on DNN, for Autonomous Vehicles: A Review
    Ratheesh Ravindran, Michael J. Santora, Mohsin M. Jamali · 2020 · IEEE Sensors Journal
59. End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
    Hecker, Simon, Dai, Dengxin, Van Gool, Luc · 2018 · Lecture Notes in Computer Science
60. 3D Ken Burns effect from a single image
    Simon Niklaus, Long Mai, Jimei Yang, Feng Liu · 2019 · ACM Transactions on Graphics
61. Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection
    Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
62. Pedestrian detection combining RGB and dense LIDAR data
    Cristiano Premebida, João Carreira, Jorge P. Batista, Urbano Nunes · 2014 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
63. Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
    Seungmin Lee, Dong-Wan Kim, Namil Kim, Seong-Gyun Jeong · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
64. Anomaly Detection in Autonomous Driving: A Survey
    Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
65. Efficient sparse-to-dense optical flow estimation using a learned basis and layers
    Jonas Wulff, Michael J. Black · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
66. Leveraging Shape Completion for 3D Siamese Tracking
    Silvio Giancola, Jesus Zarzar, Bernard Ghanem · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
67. Road extraction in remote sensing data: A survey
    Ziyi Chen, Liai Deng, Yuhua Luo, Dilong Li, José Marcato, Wesley Nunes Gonçalves, Abdul Nurunnabi, Jonathan Li, Cheng Wang, Deren Li · 2022 · International Journal of Applied Earth Observation and Geoinformation
68. Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing
    Magnus Wrenninge, Jonas Unger · 2018 · arXiv (Cornell University)
69. Vehicle Tracking and Speed Estimation From Roadside Lidar
    Jiaxing Zhang, Wen Xiao, Benjamin A. Coifman, Jon P Mills · 2020 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
70. Online Multi-object Tracking via Structural Constraint Event Aggregation
    Ju Hong Yoon, Chang‐Ryeol Lee, Ming–Hsuan Yang, Kuk‐Jin Yoon · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
71. AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
    Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
72. Endo-Depth-and-Motion: Reconstruction and Tracking in Endoscopic Videos Using Depth Networks and Photometric Constraints
    David Recasens, José Lamarca, José M. Fácil, J. M. M. Montiel, Javier Civera · 2021 · IEEE Robotics and Automation Letters
73. Test Your Self-Driving Algorithm: An Overview of Publicly Available Driving Datasets and Virtual Testing Environments
    Yue Kang, Hang Yin, Christian Berger · 2019 · IEEE Transactions on Intelligent Vehicles
74. The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
    Junwei Liang, Lu Jiang, Kevin P. Murphy, Ting Yu, Alexander G. Hauptmann · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
75. V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting
    Yu, Haibao, Yang, Wenxian, Ruan, Hongzhi, Yang, Zhenwei, Tang, Yingjuan, Gao, Xu, Hao, Xin, Shi, Yifeng, Pan, Yifeng, Sun, Ning et al. · 2023 · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
76. Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification
    Duanshun Li, Anran Cong, Shuai Guo · 2019 · Automation in Construction
77. Deep Learning Approach to Point Cloud Scene Understanding for Automated Scan to 3D Reconstruction
    Jingdao Chen, Zsolt Kira, Yong K. Cho · 2019 · Journal of Computing in Civil Engineering
78. Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
    M. Allan, A. J. McLeod, Congcong Wang, Jean-Claude Rosenthal, Zheng Hu, N. Gard, P. Eisert, Kexue Fu, Trevor Zeffiro, W. Xia et al. · 2021 · arXiv.org
79. Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions
    Matteo Poggi, Fabio Tosi, Stefano Mattoccia · 2018 · International Conference on 3D Vision (3DV)
80. Deep Optics for Monocular Depth Estimation and 3D Object Detection
    Julie Chang, Gordon Wetzstein · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
81. CARRADA Dataset: Camera and Automotive Radar with Range- Angle- Doppler Annotations
    Arthur Ouaknine, Alasdair Newson, Julien Rebut, Florence Tupin D, Patrick Pérez · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
82. Selective Sensor Fusion for Neural Visual-Inertial Odometry
    Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
83. Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment
    Yingjun Ye, Xiaohui Zhang, Jian Sun · 2019 · Transportation Research Part C Emerging Technologies
84. E-RAFT: Dense Optical Flow from Event Cameras
    Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza · 2021 · International Conference on 3D Vision (3DV)
85. Video Generative Adversarial Networks: A Review
    Nuha Aldausari, Arcot Sowmya, Nadine Marcus, Gelareh Mohammadi · 2022 · ACM Computing Surveys
86. Holistic LSTM for Pedestrian Trajectory Prediction
    Ruijie Quan, Linchao Zhu, Yu Wu, Yi Yang · 2021 · IEEE Transactions on Image Processing
87. Improved YOLOv3 model with feature map cropping for multi-scale road object detection
    Lingzhi Shen, Hongfeng Tao, Yuanzhi Ni, Yue Wang, Vladimir Stojanović · 2023 · Measurement Science and Technology
88. AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers
    Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
89. The Revisiting Problem in Simultaneous Localization and Mapping: A Survey on Visual Loop Closure Detection
    Tsintotas, Konstantinos A., Bampis, Loukas, Gasteratos, Antonios · 2022 · IEEE Transactions on Intelligent Transportation Systems
90. Learning Depth From Single Images With Deep Neural Network Embedding Focal Length
    Lei He, Guanghui Wang, Zhanyi Hu · 2018 · IEEE Transactions on Image Processing
91. Train in Germany, Test in the USA: Making 3D Object Detectors Generalize
    Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei‐Lun Chao · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
92. MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation
    John Lambert, Zhuang Liu, Ozan Şener, James H. Hays, Vladlen Koltun · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
93. An automated driving systems data acquisition and analytics platform
    Xin Xia, Zonglin Meng, Xu Han, Hanzhao Li, Takahiro Tsukiji, Runsheng Xu, Zhaoliang Zheng, Jiaqi Ma · 2023 · Transportation Research Part C Emerging Technologies
94. Dense Monocular Depth Estimation in Complex Dynamic Scenes
    René Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
95. Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
    Xingshuai Dong, Matthew Garratt, Sreenatha Gopalarao Anavatti, Hussein A. Abbass · 2022 · IEEE Transactions on Intelligent Transportation Systems
96. Edge deep learning in computer vision and medical diagnostics: a comprehensive survey
    Yiwen Xu, Tariq Mehmood Khan, Yang Song, Erik H. W. Meijering · 2025 · Artificial Intelligence Review
97. UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes
    Weisong Wen, Yiyang Zhou, Guohao Zhang, Saman Fahandezh-Saadi, Xiwei Bai, Wei Zhan, Masayoshi Tomizuka, Li‐Ta Hsu · 2020 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
98. Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments
    Xia, Fei, Shen, William B., Li, Chengshu, Kasimbeg, Priya, Tchapmi, Micael Edmond, Toshev, Alexander, Martin-Martin, Roberto, Savarese, Silvio · 2020 · IEEE Robotics and Automation Letters
99. A*3D Dataset: Towards Autonomous Driving in Challenging Environments
    Pham, Quang-Hieu, Sevestre, Pierre, Pahwa, Ramanpreet Singh, Zhan, Huijing, Pang, Chun Ho, Chen, Yuda, Mustafa, Armin, Chandrasekhar, Vijay, Lin, Jie · 2020 · 2020 IEEE International Conference on Robotics and Automation (ICRA)
100. OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
     S. Kreiss, Lorenzo Bertoni, Alexandre Alahi · 2021 · IEEE Transactions on Intelligent Transportation Systems