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FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving.

, , , , , , and . CoRR, (2019)

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Scalable Frame to Block Based Automatic Converter for Efficient Embedded Vision Processing., , and . CVPR Workshops, page 592-597. IEEE Computer Society, (2013)A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving., , , , , and . CVPR Workshops, page 587-597. IEEE Computer Society, (2018)Early Fusion of Dense Optical Flow with Image for Semantic Segmentation in Autonomous Driving., , , , and . AICS, volume 2259 of CEUR Workshop Proceedings, page 126-137. CEUR-WS.org, (2018)Real-time Joint Object Detection and Semantic Segmentation Network for Automated Driving., , and . CoRR, (2019)Overview and Empirical Analysis of ISP Parameter Tuning for Visual Perception in Autonomous Driving., , , , , and . J. Imaging, 5 (10): 78 (2019)FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving., , , , , and . CoRR, (2019)RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving., , , and . CoRR, (2019)RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving., , , , , and . ITSC, page 7-12. IEEE, (2019)Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR Supervision., , , , , , , and . ITSC, page 2853-2858. IEEE, (2018)Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges., , , and . ITSC, page 1-8. IEEE, (2017)