Vision meets robotics: The KITTI dataset

Geiger, A, Lenz, P, Stiller, C, Urtasun, R·2013·The International Journal of Robotics Research

Cited by (1,028)

Items 1,001–1,028 of 1,028

  1. 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)
  2. Multimodal semantic segmentation in autonomous driving: A review of current approaches and future perspectives
    Rizzoli, Giulia, Barbato, Francesco, Zanuttigh, Pietro · 2022 · Technologies
  3. Depth map guided triplet network for deepfake face detection
    Liang, Buyun, Wang, Zhongyuan, Huang, Baojin, Zou, Qin, Wang, Qian, Liang, Jingjing · 2023 · Neural Networks
  4. MME-YOLO: Multi-Sensor Multi-Level Enhanced YOLO for Robust Vehicle Detection in Traffic Surveillance
    Zhu, Jianxiao, Li, Xu, Jin, Peng, Xu, Qimin, Sun, Zhengliang, Song, Xiang · 2020 · Sensors
  5. Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU
    Tinchev, Georgi, Penate-Sanchez, Adrian, Fallon, Maurice · 2019 · IEEE Robotics and Automation Letters
  6. The Benchmark Lottery
    Dehghani, Mostafa, Tay, Yi, Gritsenko, Alexey A., Zhao, Zhe, Houlsby, Neil, Diaz, Fernando, Metzler, Donald, Vinyals, Oriol · 2021 · arXiv
  7. Real-Time 3D Object Detection and Classification in Autonomous Driving Environment Using 3D LiDAR and Camera Sensors
    Arikumar, K. S., Deepak Kumar, A., Gadekallu, Thippa Reddy, Prathiba, Sahaya Beni, Tamilarasi, K. · 2022 · Electronics
  8. AuxNet: Auxiliary Tasks Enhanced Semantic Segmentation for Automated Driving
    Chennupati, Sumanth, Sistu, Ganesh, Yogamani, Senthil, Rawashdeh, Samir · 2019 · Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
  9. Multimodal Fusion Object Detection System for Autonomous Vehicles
    Person, Michael, Jensen, Mathew, Smith, Anthony O., Gutierrez, Hector · 2019 · Journal of Dynamic Systems, Measurement, and Control
  10. 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
  11. A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty
    Peretroukhin, Valentin, Giamou, Matthew, Nicholas Greene, W., Rosen, David, Kelly, Jonathan, Roy, Nicholas · 2020 · Robotics: Science and Systems XVI
  12. Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network with Online Error Correction
    Shamwell, E. Jared, Leung, Sarah, Nothwang, William D. · 2018 · 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  13. Mix-and-Match Tuning for Self-Supervised Semantic Segmentation
    Zhan, Xiaohang, Liu, Ziwei, Luo, Ping, Tang, Xiaoou, Loy, Chen · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
  14. Semantic labeling for prosthetic vision
    Horne, Lachlan, Alvarez, Jose, McCarthy, Chris, Salzmann, Mathieu, Barnes, Nick · 2016 · Computer Vision and Image Understanding
  15. Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection Algorithm
    Soboleva, Vera, Shipitko, Oleg · 2021 · 2021 IEEE Symposium Series on Computational Intelligence (SSCI)
  16. A Fault Tolerant Perception system for autonomous vehicles
    Realpe, Miguel, Vintimilla, Boris X., Vlacic, Ljubo · 2016 · 2016 35th Chinese Control Conference (CCC)
  17. DF-VO: What Should Be Learnt for Visual Odometry?
    Zhan, Huangying, Weerasekera, Chamara Saroj, Bian, Jia-Wang, Garg, Ravi, Reid, Ian · 2021 · arXiv
  18. Optical Flow Estimation with Deep Learning, a Survey on Recent Advances
    Savian, Stefano, Elahi, Mehdi, Tillo, Tammam · 2020 · Unsupervised and Semi-Supervised Learning
  19. Outdoor RGBD Instance Segmentation With Residual Regretting Learning
    Xu, Zhengtian, Liu, Shu, Shi, Jianping, Lu, Cewu · 2020 · IEEE Transactions on Image Processing
  20. Estimating Labeling Quality with Deep Object Detectors
    Haase-Schütz, Christian, Hertlein, Heinz, Wiesbeck, Werner · 2019 · 2019 IEEE Intelligent Vehicles Symposium (IV)
  21. Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
    Tung, Hsiao-Yu, Ding, Mingyu, Chen, Zhenfang, Bear, Daniel, Gan, Chuang, Tenenbaum, Josh, Yamins, Dan, Fan, Judith, Smith, Kevin · 2023 · Advances in Neural Information Processing Systems 36
  22. A central multimodal fusion framework for outdoor scene image segmentation
    Zhang, Yifei, Morel, Olivier, Seulin, Ralph, Mériaudeau, Fabrice, Sidibé, Désiré · 2022 · Multimedia Tools and Applications
  23. Uncertainty Based Camera Model Selection
    Polic, Michal, Steidl, Stanislav, Albl, Cenek, Kukelova, Zuzana, Pajdla, Tomas · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  24. An Embodied Multi-Sensor Fusion Approach to Visual Motion Estimation Using Unsupervised Deep Networks
    Shamwell, E. Jared, Nothwang, William D., Perlis, Donald · 2018 · Sensors
  25. Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM
    Zhang, Yao, Mao, Yuyi, Wang, Hui, Yu, Zhiwen, Guo, Song, Zhang, Jun, Wang, Liang, Guo, Bin · 2025 · IEEE Transactions on Mobile Computing
  26. Real-time 3D Perception System of Construction Equipment for Autonomous Mobile Robots
    Chung, Duho, Im, Seunghun, Kim, Yohan, Kim, Hyoungkwan · 2025 · Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)
  27. RainSense: An Autonomous Driving Environmental Perception Dataset with Rain Intensity Annotations
    Xia, Tian, Yang, Xingbo, Chen, Tianrui, Zhang, Longgao, Ye, Shaolingfen, Chen, Junyi · 2025 · SAE Technical Paper Series
  28. DRIVE-C: A Controlled Corruption Dataset for Autonomous Driving
    Aher, Shiva · 2026 · arXiv