Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
Paper summary ## Problems * **Computer Vision**: * Detection: Given a 2D image, where are cars, pedestrians, traffic signs? * Depth estimation: Given a 2D image, estimate the depth * **Planning**: Where do I want to go? * **Control**: How should I steer? ## Datasets * KITTI: Street segmentation (Computer Vision) * ISPRS * MOT * Cityscapes ## What I missed * GTSRB: The German Traffic Sign Recognition Benchmark dataset * GTSDB: The German Traffic Sign Detection Benchmark
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Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
Janai, Joel and Güney, Fatma and Behl, Aseem and Geiger, Andreas
arXiv e-Print archive - 2017 via Local Bibsonomy
Keywords: dblp


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