… , and computer vision communities … of autonomous driving, followed by an introduction to
camera models and calibration techniques. We then provide an overview of autonomous driving…

… mainly focused areas using computer vision-based approaches. … autonomous driving
conditions. This research paper focused on the evaluation of computer vision used in self-driving …

… Computer vision has thus received extensive research … computer vision systems in self-driving
cars to know where to go and what to avoid. Deep learning networks for computer vision …

… for vision-based self-driving … in driving, a safety-critical application. Gathering contributions
from several research fields, namely computer vision, deep learning, autonomous driving, …

… Therefore, the main aim of developing a computer stereo vision algorithm for resource-…
of computer stereo vision for autonomous car systems. Then, we discuss four autonomous car …

… In this paper, we take advantage of our autonomous driving platform to develop novel
challenging … with novel difficulties to the computer vision community. Our benchmarks are avail- …

… situations to analyze how computer vision can help autonomous vehicles. Due to … on the
application of computer vision algorithms in emergency situations of autonomous vehicles. This …

… Hence, in these approaches computer vision plays the role of a complementary technology
… , we think that computer vision must be at the core of perception for autonomous driving, ie, …

… Autonomous driving has the potential to radically change the cityscape and save many …
While radar has been used for decades [1, 3], we are not aware of any autonomous driving …

… and computer vision in autonomous driving … of computer vision and artificial intelligence in
automatic driving, this paper expounds the image processing technology in automatic driving, …