143 citations · 179 across the 5 of their papers we have counts for
5 papers
SparseLaneSTP: Leveraging Spatio-Temporal Priors with Sparse Transformers for 3D Lane Detection
Maximilian Pittner, Joel Janai, Mario Faigle +1
3D lane detection has emerged as a critical challenge in autonomous driving, encompassing identification and localization of lane markings and the 3D road surface. Conventional 3D…
LaneCPP: Continuous 3D Lane Detection using Physical Priors
Maximilian Pittner, Joel Janai, Alexandru P. Condurache
Monocular 3D lane detection has become a fundamental problem in the context of autonomous driving, which comprises the tasks of finding the road surface and locating lane markings.…
Self-Supervised Linear Motion Deblurring
Peidong Liu, Joel Janai, Marc Pollefeys +2
Motion blurry images challenge many computer vision algorithms, e.g, feature detection, motion estimation, or object recognition. Deep convolutional neural networks are state-of-th…
Attacking Optical Flow
Anurag Ranjan, Joel Janai, Andreas Geiger +1
Deep neural nets achieve state-of-the-art performance on the problem of optical flow estimation. Since optical flow is used in several safety-critical applications like self-drivin…
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
Joel Janai, Fatma Güney, Aseem Behl +1
Recent years have witnessed enormous progress in AI-related fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it becomes…