Are we ready for autonomous driving? The KITTI vision benchmark suite

Cited by (208)

Items 101–200 of 208

1. HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection
   Ye, Maosheng, Xu, Shuangjie, Cao, Tongyi · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2. Robust Multi-Modality Multi-Object Tracking
   Zhang, Wenwei, Zhou, Hui, Sun, Shuyang, Wang, Zhe, Shi, Jianping, Loy, Chen Change · 2019 · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
3. Joint Semantic Segmentation and 3D Reconstruction from Monocular Video
   Kundu, Abhijit, Li, Yin, Dellaert, Frank, Li, Fuxin, Rehg, James M. · 2014 · Lecture Notes in Computer Science
4. xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
   Jaritz, Maximilian, Vu, Tuan-Hung, de Charette, Raoul, Wirbel, Emilie, Perez, Patrick · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
5. MP3: A Unified Model to Map, Perceive, Predict and Plan
   Casas, Sergio, Sadat, Abbas, Urtasun, Raquel · 2021 · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
6. Multimodal vehicle detection: fusing 3D-LIDAR and color camera data
   Asvadi, Alireza, Garrote, Luis, Premebida, Cristiano, Peixoto, Paulo, J. Nunes, Urbano · 2018 · Pattern Recognition Letters
7. Learning to Track with Object Permanence
   Tokmakov, Pavel, Li, Jie, Burgard, Wolfram, Gaidon, Adrien · 2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
8. 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)
9. Progressive LiDAR adaptation for road detection
   Chen, Zhe, Zhang, Jing, Tao, Dacheng · 2019 · IEEE/CAA Journal of Automatica Sinica
10. Single View Stereo Matching
    Luo, Yue, Ren, Jimmy, Lin, Mude, Pang, Jiahao, Sun, Wenxiu, Li, Hongsheng, Lin, Liang · 2018 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
11. Exploring Representation Learning With CNNs for Frame-to-Frame Ego-Motion Estimation
    Costante, Gabriele, Mancini, Michele, Valigi, Paolo, Ciarfuglia, Thomas A. · 2016 · IEEE Robotics and Automation Letters
12. Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City
    Barthélemy, Johan, Verstaevel, Nicolas, Forehead, Hugh, Perez, Pascal · 2019 · Sensors
13. An in-memory computing architecture based on a duplex two-dimensional material structure for in situ machine learning
    Ning, Hongkai, Yu, Zhihao, Zhang, Qingtian, Wen, Hengdi, Gao, Bin, Mao, Yun, Li, Yuankun, Zhou, Ying, Zhou, Yue, Chen, Jiewei et al. · 2023 · Nature Nanotechnology
14. 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)
15. Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals
    Qian, Kun, Zhu, Shilin, Zhang, Xinyu, Li, Li Erran · 2021 · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
16. Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction
    Vineet, Vibhav, Miksik, Ondrej, Lidegaard, Morten, Niebner, Matthias, Golodetz, Stuart, Prisacariu, Victor A., Kahler, Olaf, Murray, David W., Izadi, Shahram, Peerez, Patrick et al. · 2015 · 2015 IEEE International Conference on Robotics and Automation (ICRA)
17. What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
    Mayer, Nikolaus, Ilg, Eddy, Fischer, Philipp, Hazirbas, Caner, Cremers, Daniel, Dosovitskiy, Alexey, Brox, Thomas · 2018 · International Journal of Computer Vision
18. Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks
    Pilzer, Andrea, Xu, Dan, Puscas, Mihai, Ricci, Elisa, Sebe, Nicu · 2018 · 2018 International Conference on 3D Vision (3DV)
19. A Comprehensive Review of Deep Learning-Based Crack Detection Approaches
    Hamishebahar, Younes, Guan, Hong, So, Stephen, Jo, Jun · 2022 · Applied Sciences
20. TorontoCity: Seeing the World with a Million Eyes
    Wang, Shenlong, Bai, Min, Mattyus, Gellert, Chu, Hang, Luo, Wenjie, Yang, Bin, Liang, Justin, Cheverie, Joel, Fidler, Sanja, Urtasun, Raquel · 2017 · 2017 IEEE International Conference on Computer Vision (ICCV)
21. The Trouble with Autopilots: Assisted and Autonomous Driving on the Social Road
    Brown, Barry, Laurier, Eric · 2017 · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
22. Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM
    Shi, Xuesong, Li, Dongjiang, Zhao, Pengpeng, Tian, Qinbin, Tian, Yuxin, Long, Qiwei, Zhu, Chunhao, Song, Jingwei, Qiao, Fei, Song, Le et al. · 2020 · 2020 IEEE International Conference on Robotics and Automation (ICRA)
23. OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
    Wang, Xiaofeng, Zhu, Zheng, Xu, Wenbo, Zhang, Yunpeng, Wei, Yi, Chi, Xu, Ye, Yun, Du, Dalong, Lu, Jiwen, Wang, Xingang · 2023 · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
24. 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)
25. Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling
    Ramos, Sebastian, Gehrig, Stefan, Pinggera, Peter, Franke, Uwe, Rother, Carsten · 2017 · 2017 IEEE Intelligent Vehicles Symposium (IV)
26. iBoW-LCD: An Appearance-Based Loop-Closure Detection Approach Using Incremental Bags of Binary Words
    Garcia-Fidalgo, Emilio, Ortiz, Alberto · 2018 · IEEE Robotics and Automation Letters
27. Embedded Real-time Stereo Estimation via Semi-global Matching on the GPU
    Hernandez-Juarez, D., Chacón, A., Espinosa, A., Vázquez, D., Moure, J.C., López, A.M. · 2016 · Procedia Computer Science
28. Deep learning in the automotive industry: Applications and tools
    Luckow, Andre, Cook, Matthew, Ashcraft, Nathan, Weill, Edwin, Djerekarov, Emil, Vorster, Bennie · 2016 · 2016 IEEE International Conference on Big Data (Big Data)
29. DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
    Khazatsky, Alexander, Pertsch, Karl, Nair, Suraj, Balakrishna, Ashwin, Dasari, Sudeep, Karamcheti, Siddharth, Nasiriany, Soroush, Srirama, Mohan, Chen, Lawrence, Ellis, Kirsty et al. · 2024 · Robotics: Science and Systems XX
30. Geometry-based Distance Decomposition for Monocular 3D Object Detection
    Shi, Xuepeng, Ye, Qi, Chen, Xiaozhi, Chen, Chuangrong, Chen, Zhixiang, Kim, Tae-Kyun · 2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
31. SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap
    Park, Tae Ha, Martens, Marcus, Lecuyer, Gurvan, Izzo, Dario, D'Amico, Simone · 2022 · 2022 IEEE Aerospace Conference (AERO)
32. Single-Pedestrian Detection Aided by Multi-pedestrian Detection
    Ouyang, Wanli, Wang, Xiaogang · 2013 · 2013 IEEE Conference on Computer Vision and Pattern Recognition
33. 3D Object Detection from Images for Autonomous Driving: A Survey
    Ma, Xinzhu, Ouyang, Wanli, Simonelli, Andrea, Ricci, Elisa · 2022 · arXiv
34. Monocular depth estimation with hierarchical fusion of dilated CNNs and soft-weighted-sum inference
    Li, Bo, Dai, Yuchao, He, Mingyi · 2018 · Pattern Recognition
35. A Review of SLAM Techniques and Security in Autonomous Driving
    Singandhupe, Ashutosh, La, Hung Manh · 2019 · 2019 Third IEEE International Conference on Robotic Computing (IRC)
36. Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
    Wang, Li, Du, Liang, Ye, Xiaoqing, Fu, Yanwei, Guo, Guodong, Xue, Xiangyang, Feng, Jianfeng, Zhang, Li · 2021 · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
37. OpenEI: An Open Framework for Edge Intelligence
    Zhang, Xingzhou, Wang, Yifan, Lu, Sidi, Liu, Liangkai, xu, Lanyu, Shi, Weisong · 2019 · 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)
38. Requirements-driven test generation for autonomous vehicles with machine learning components
    Tuncali, Cumhur Erkan, Fainekos, Georgios, Prokhorov, Danil, Ito, Hisahiro, Kapinski, James · 2020 · IEEE Transactions on Intelligent Vehicles
39. LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
    Chen, Yiping, Wang, Jingkang, Li, Jonathan, Lu, Cewu, Luo, Zhipeng, Xue, Han, Wang, Cheng · 2018 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
40. Physics-Based Rendering for Improving Robustness to Rain
    Halder, Shirsendu, Lalonde, Jean-Francois, Charette, Raoul De · 2019 · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
41. Urban Traffic Density Estimation Based on Ultrahigh-Resolution UAV Video and Deep Neural Network
    Zhu, Jiasong, Sun, Ke, Jia, Sen, Li, Qingquan, Hou, Xianxu, Lin, Weidong, Liu, Bozhi, Qiu, Guoping · 2018 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
42. CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
    Facil, Jose M., Ummenhofer, Benjamin, Zhou, Huizhong, Montesano, Luis, Brox, Thomas, Civera, Javier · 2019 · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
43. Octo: An Open-Source Generalist Robot Policy
    Ghosh, Dibya, Walke, Homer, Pertsch, Karl, Black, Kevin, Mees, Oier, Dasari, Sudeep, Hejna, Joey, Kreiman, Tobias, Xu, Charles, Luo, Jianlan et al. · 2024 · Robotics: Science and Systems XX
44. Testing of Advanced Driver Assistance Towards Automated Driving: A Survey and Taxonomy on Existing Approaches and Open Questions
    Stellet, Jan Erik, Zofka, Marc Rene, Schumacher, Jan, Schamm, Thomas, Niewels, Frank, Zollner, J. Marius · 2015 · 2015 IEEE 18th International Conference on Intelligent Transportation Systems
45. Explainable Object-Induced Action Decision for Autonomous Vehicles
    Xu, Yiran, Yang, Xiaoyin, Gong, Lihang, Lin, Hsuan-Chu, Wu, Tz-Ying, Li, Yunsheng, Vasconcelos, Nuno · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
46. FocalFormer3D : Focusing on Hard Instance for 3D Object Detection
    Chen, Yilun, Yu, Zhiding, Chen, Yukang, Lan, Shiyi, Anandkumar, Anima, Jia, Jiaya, Alvarez, Jose M. · 2023 · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
47. OmniDet: Surround View Cameras Based Multi-Task Visual Perception Network for Autonomous Driving
    Ravi Kumar, Varun, Yogamani, Senthil, Rashed, Hazem, Sitsu, Ganesh, Witt, Christian, Leang, Isabelle, Milz, Stefan, Mader, Patrick · 2021 · IEEE Robotics and Automation Letters
48. Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception
    Hurl, Braden, Czarnecki, Krzysztof, Waslander, Steven · 2019 · 2019 IEEE Intelligent Vehicles Symposium (IV)
49. Approaches, Challenges, and Applications for Deep Visual Odometry: Toward Complicated and Emerging Areas
    Wang, Ke, Ma, Sai, Chen, Junlan, Ren, Fan, Lu, Jianbo · 2022 · IEEE Transactions on Cognitive and Developmental Systems
50. Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning
    Milz, Stefan, Arbeiter, Georg, Witt, Christian, Abdallah, Bassam, Yogamani, Senthil · 2018 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
51. Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods
    Gao, Biao, Pan, Yancheng, Li, Chengkun, Geng, Sibo, Zhao, Huijing · 2022 · IEEE Transactions on Intelligent Transportation Systems
52. Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes
    Wang, Chaoyang, Lucey, Simon, Perazzi, Federico, Wang, Oliver · 2019 · 2019 International Conference on 3D Vision (3DV)
53. On Offline Evaluation of Vision-Based Driving Models
    Codevilla, Felipe, López, Antonio M., Koltun, Vladlen, Dosovitskiy, Alexey · 2018 · Lecture Notes in Computer Science
54. Visual Navigation Using Heterogeneous Landmarks and Unsupervised Geometric Constraints
    Lu, Yan, Song, Dezhen · 2015 · IEEE Transactions on Robotics
55. CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow
    Weinzaepfel, Philippe, Lucas, Thomas, Leroy, Vincent, Cabon, Yohann, Arora, Vaibhav, Brégier, Romain, Csurka, Gabriela, Antsfeld, Leonid, Chidlovskii, Boris, Revaud, Jérôme · 2023 · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
56. LiDAR Panoptic Segmentation for Autonomous Driving
    Milioto, Andres, Behley, Jens, McCool, Chris, Stachniss, Cyrill · 2020 · 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
57. FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
    Krispel, Georg, Opitz, Michael, Waltner, Georg, Possegger, Horst, Bischof, Horst · 2020 · 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
58. Vehicle-to-Everything Communication in Intelligent Connected Vehicles: A Survey and Taxonomy
    Zhang, Xinyu, Li, Junxian, Zhou, Jingyi, Zhang, Shiyan, Wang, Jingyuan, Yuan, Yi, Liu, Jiale, Li, Jun · 2025 · Automotive Innovation
59. M3DSSD: Monocular 3D Single Stage Object Detector
    Luo, Shujie, Dai, Hang, Shao, Ling, Ding, Yong · 2021 · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
60. MODNet: Motion and Appearance based Moving Object Detection Network for Autonomous Driving
    Siam, Mennatullah, Mahgoub, Heba, Zahran, Mohamed, Yogamani, Senthil, Jagersand, Martin, El-Sallab, Ahmad · 2018 · 2018 21st International Conference on Intelligent Transportation Systems (ITSC)
61. Multi-modal Auto-Encoders as Joint Estimators for Robotics Scene Understanding
    Cadena, Cesar, Dick, Anthony, D. Reid, Ian · 2016 · Robotics: Science and Systems XII
62. A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection
    Chandrasegaran, Keshigeyan, Tran, Ngoc-Trung, Cheung, Ngai-Man · 2021 · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
63. SpaceNet MVOI: A Multi-View Overhead Imagery Dataset
    Weir, Nicholas, Lindenbaum, David, Bastidas, Alexei, Etten, Adam, Kumar, Varun, Mcpherson, Sean, Shermeyer, Jacob, Tang, Hanlin · 2019 · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
64. Learning Object-Specific Distance From a Monocular Image
    Zhu, Jing, Fang, Yi · 2019 · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
65. Learning Multi-Object Tracking and Segmentation From Automatic Annotations
    Porzi, Lorenzo, Hofinger, Markus, Ruiz, Idoia, Serrat, Joan, Bulo, Samuel Rota, Kontschieder, Peter · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
66. Traffic Scene Segmentation Based on RGB-D Image and Deep Learning
    Li, Linhui, Qian, Bo, Lian, Jing, Zheng, Weina, Zhou, Yafu · 2018 · IEEE Transactions on Intelligent Transportation Systems
67. Emerging trends in autonomous vehicle perception: Multimodal fusion for 3D object detection
    Alaba, Simegnew Yihunie, Gurbuz, Ali C., Ball, John E. · 2024 · World Electric Vehicle Journal
68. Hierarchical Recurrent Attention Networks for Structured Online Maps
    Homayounfar, Namdar, Ma, Wei-Chiu, Lakshmikanth, Shrinidhi Kowshika, Urtasun, Raquel · 2018 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
69. Exploring RGB+Depth Fusion for Real-Time Object Detection
    Ophoff, Tanguy, Van Beeck, Kristof, Goedemé, Toon · 2019 · Sensors
70. When to use what data set for your self-driving car algorithm: An overview of publicly available driving datasets
    Yin, Hang, Berger, Christian · 2017 · 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)
71. A Survey of Deep Learning Applications to Autonomous Vehicle Control
    Kuutti, Sampo, Bowden, Richard, Jin, Yaochu, Barber, Phil, Fallah, Saber · 2021 · IEEE Transactions on Intelligent Transportation Systems
72. Recent Advancements in Learning Algorithms for Point Clouds: An Updated Overview
    Camuffo, Elena, Mari, Daniele, Milani, Simone · 2022 · Sensors
73. Vision-Based Driver Assistance Systems: Survey, Taxonomy and Advances
    Horgan, Jonathan, Hughes, Ciaran, McDonald, John, Yogamani, Senthil · 2015 · 2015 IEEE 18th International Conference on Intelligent Transportation Systems
74. DeepVO: A Deep Learning approach for Monocular Visual Odometry
    Mohanty, Vikram, Agrawal, Shubh, Datta, Shaswat, Ghosh, Arna, Sharma, Vishnu Dutt, Chakravarty, Debashish · 2016 · arXiv
75. LMNet: Real-time Multiclass Object Detection on CPU Using 3D LiDAR
    Minemura, Kazuki, Liau, Hengfui, Monrroy, Abraham, Kato, Shinpei · 2018 · 2018 3rd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)
76. Deep semantic classification for 3D LiDAR data
    Dewan, Ayush, Oliveira, Gabriel L., Burgard, Wolfram · 2017 · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
77. CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles
    Wang, Yifan, Liu, Shaoshan, Wu, Xiaopei, Shi, Weisong · 2018 · 2018 IEEE/ACM Symposium on Edge Computing (SEC)
78. Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation
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79. Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments
    Barnes, Dan, Maddern, Will, Pascoe, Geoffrey, Posner, Ingmar · 2018 · 2018 IEEE International Conference on Robotics and Automation (ICRA)
80. Multimodal semantic segmentation in autonomous driving: A review of current approaches and future perspectives
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81. Semantic octree: Unifying recognition, reconstruction and representation via an octree constrained higher order MRF
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82. Slanted Stixels: Representing San Francisco's Steepest Streets
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83. Orientation- and Scale-Invariant Multi-Vehicle Detection and Tracking from Unmanned Aerial Videos
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84. Training Object Detectors With Noisy Data
    Chadwick, Simon, Newman, Paul · 2019 · 2019 IEEE Intelligent Vehicles Symposium (IV)
85. Federated Learning For IoT: Applications, Trends, Taxonomy, Challenges, Current Solutions, and Future Directions
    Adam, Mumin, Baroudi, Uthman · 2024 · IEEE Open Journal of the Communications Society
86. DeepSetNet: Predicting Sets with Deep Neural Networks
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87. Towards visual ego-motion learning in robots
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88. SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints
    Testolina, Paolo, Barbato, Francesco, Michieli, Umberto, Giordani, Marco, Zanuttigh, Pietro, Zorzi, Michele · 2023 · IEEE Transactions on Intelligent Transportation Systems
89. Multimodal fusion and vision–language models: A survey for robot vision
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90. Semantic labeling for prosthetic vision
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91. CMNet: A Connect-and-Merge Convolutional Neural Network for Fast Vehicle Detection in Urban Traffic Surveillance
    Zhang, Fukai, Yang, Feng, Li, Ce, Yuan, Guan · 2019 · IEEE Access
92. A Fault Tolerant Perception system for autonomous vehicles
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93. DF-VO: What Should Be Learnt for Visual Odometry?
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94. RefineNet: Iterative refinement for accurate object localization
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95. Contrasting Contrastive Self-Supervised Representation Learning Pipelines
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96. Point cloud registration considering safety nets during scaffold installation using sensor fusion and deep learning
    Kim, Juhyeon, Kim, Jeehoon, Paik, Sunwoong, Kim, Hyoungkwan · 2024 · Automation in Construction
97. Multi-Sem Fusion: Multimodal Semantic Fusion for 3-D Object Detection
    Xu, Shaoqing, Li, Fang, Song, Ziying, Fang, Jin, Wang, Sifen, Yang, Zhi-Xin · 2024 · IEEE Transactions on Geoscience and Remote Sensing
98. Transformer-based sensor fusion for autonomous vehicles: A comprehensive review
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99. MRFTrans: Multimodal representation fusion transformer for monocular 3D semantic scene completion
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100. Ten Years of Active Learning Techniques and Object Detection: A Systematic Review
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