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YOLO3D: End-to-End Real-Time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud.

, , , , и . ECCV Workshops (3), том 11131 из Lecture Notes in Computer Science, стр. 716-728. Springer, (2018)

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Meta learning Framework for Automated Driving., , , и . CoRR, (2017)BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving., , , , и . ITSC, стр. 1503-1508. IEEE, (2021)Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline., , , , , , и . WACV, стр. 2271-2279. IEEE, (2021)Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation., и . ITSC, стр. 1470-1475. IEEE, (2021)End-to-End Deep Reinforcement Learning for Lane Keeping Assist., , , и . CoRR, (2016)YOLO3D: End-to-End Real-Time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud., , , , и . ECCV Workshops (3), том 11131 из Lecture Notes in Computer Science, стр. 716-728. Springer, (2018)MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving., , , , , и . CoRR, (2017)Optical Flow Augmented Semantic Segmentation Networks for Automated Driving., , , , и . VISIGRAPP (5: VISAPP), стр. 165-172. SciTePress, (2019)Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline., , , , , , и . CoRR, (2020)Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation., , , и . CVPR Workshops, стр. 364-370. Computer Vision Foundation / IEEE, (2019)