… computer vision … Autonomous Driving competition rules and environment, this project
included a simulated environment with all the necessary items (car, track, etc.), computer vision …

… image dataset dedicated to autonomous driving. It contains … for detailed evaluation of computer
vision algorithms on fisheye … the community to adapt computer vision models for fisheye …

… In this thesis, the performances of Computer Vision systems are evaluated under simulated,
… -scale Autonomous Driving datasets are degraded by an optical model to simulate driving …

… (CNNs): A study of several surveys shows that CNNs have obtained state-of-the-art
achievements in various computer vision tasks associated to AD such as tracking [2], [130], speed …

… ]; the goal of the project is to achieve the capability of autonomous cross-country mobility. …
In the last quarter of 1986 VaMoRs became available for autonomous driving tests. The task …

… , which is possible to cover most conditions in autonomous driving. 3) Substantial size. The
… Are we ready for autonomous driving? the kitti vision benchmark suite. In CVPR, 2012. 1, 2, …

Semantic segmentation is a critical module in robotics related applications, especially
autonomous driving. Most of the research on semantic segmentation is focused on improving the …

… KITTI dataset [21] is specifically designed for autonomous driving and all images are … ready
for autonomous driving? the KITTI vision benchmark suite,” in IEEE Conference on Computer …

… and automated tuning, we aim to discuss the merits of the use of computer vision performance
cost metrics to automatically tune the ISP parameters. By using ISP proxy algorithms, like …

… The success of deep learning in computer vision is based on … dataset of augmented urban
driving scenes with 360 degree … Synthetic data generation for autonomous driving has shown …