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

Geiger, A., Lenz, P., Urtasun, R.·2012·2012 IEEE Conference on Computer Vision and Pattern Recognition
DOI 10.1109/cvpr.2012.6248074

Cited by (208)

Items 201–208 of 208

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  3. Estimating Labeling Quality with Deep Object Detectors
    Haase-Schütz, Christian, Hertlein, Heinz, Wiesbeck, Werner · 2019 · 2019 IEEE Intelligent Vehicles Symposium (IV)
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    Li, Chengshu, Zhang, Ruohan, Wong, Josiah, Gokmen, Cem, Srivastava, Sanjana, Martín-Martín, Roberto, Wang, Chen, Levine, Gabrael, Ai, Wensi, Martinez, Benjamin et al. · 2024 · arXiv
  5. Benchmark Analysis of Deep Learning-based 3D Object Detectors on NVIDIA Jetson Platforms
    Choe, Minjae, Lee, Sukjun, Sung, Nak-Myoung, Jung, Sungwook, Choe, Chungjae · 2021 · 2021 International Conference on Information and Communication Technology Convergence (ICTC)
  6. Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing
    Williams, Stephen, Indelman, Vadim, Kaess, Michael, Roberts, Richard, Leonard, John J., Dellaert, Frank · 2014 · The International Journal of Robotics Research
  7. The Static Fusion Paradox: A Degradation-Centric Survey of Multimodal Perception in Adverse Weather
    Godugu, Sri Alekhya · 2026 · 2026 IEEE Intelligent Vehicles Symposium (IV)
  8. Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach
    Françani, André O., Maximo, Marcos R. O. A. · 2023 · arXiv