Vision meets robotics: The KITTI dataset

Cited by (1,028)

Items 201–300 of 1,028

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9. A Survey of End-to-End Driving: Architectures and Training Methods
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11. Urban Radiance Fields
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15. Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review
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16. Point Cloud Completion by Skip-Attention Network With Hierarchical Folding
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17. Improving 3D Object Detection with Channel-wise Transformer
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18. COTR: Correspondence Transformer for Matching Across Images
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19. RELLIS-3D Dataset: Data, Benchmarks and Analysis
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20. MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer
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21. How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
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22. One Thousand and One Hours: Self-driving Motion Prediction Dataset
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23. A comparative review on multi-modal sensors fusion based on deep learning
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24. Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
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26. 3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception
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27. Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
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28. Rethinking Visual Geo-localization for Large-Scale Applications
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29. Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain
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32. Confidence Propagation through CNNs for Guided Sparse Depth Regression
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33. Self-Supervised Pretraining of 3D Features on any Point-Cloud
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34. Vehicle Trajectory Prediction Using LSTMs With Spatial–Temporal Attention Mechanisms
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35. When2com: Multi-Agent Perception via Communication Graph Grouping
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36. Cascaded Refinement Network for Point Cloud Completion
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37. Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
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38. Real-Time Self-Adaptive Deep Stereo
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39. Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-Shot Metric Depth and Surface Normal Estimation
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40. A Robust Learning Approach to Domain Adaptive Object Detection
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41. On the Uncertainty of Self-Supervised Monocular Depth Estimation
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42. A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective
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43. DeepMatching: Hierarchical Deformable Dense Matching
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44. Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
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45. Delving into Localization Errors for Monocular 3D Object Detection
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46. The Cityscapes Dataset
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47. Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy
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48. Artificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: a review
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49. Auxiliary Tasks in Multi-task Learning
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50. Unsupervised Single Image Dehazing Using Dark Channel Prior Loss
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51. Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
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52. Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty
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53. Deep multimodal fusion for semantic image segmentation: A survey
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54. Limo: Lidar-monocular visual odometry
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57. A Review of Vehicle Detection Techniques for Intelligent Vehicles
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66. Hierarchical Discrete Distribution Decomposition for Match Density Estimation
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72. A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
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95. The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany
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97. A LiDAR Point Cloud Generator
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99. LO-Net: Deep Real-Time Lidar Odometry
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100. RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization
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