H Zhao, Y Zhang, P Meng, H Shi, LE Li… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
High automated vehicles rely on the computing system in the car to understand the environment and make driving decisions. Therefore, computing system design is essential …
Recently, autonomous driving development ignited competition among car makers and technical corporations. Low-level automation cars are already commercially available. But …
The recent proliferation of computing technologies (eg, sensors, computer vision, machine learning, and hardware acceleration) and the broad deployment of communication …
A Adee, R Gansch… - 2021 17th European …, 2021 - ieeexplore.ieee.org
Highly automated driving (HAD) vehicles are complex systems operating in an open context. Complexity of these systems as well as limitations and insufficiencies in sensing and …
C Zhang, A Eskandarian, X Du - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Environment perception is crucial for autonomous vehicle (AV) safety. Most existing AV perception algorithms have not studied the surrounding environment complexity and failed …
Autonomous vehicles (AVs) employ sophisticated computer systems and algorithms to perceive the surroundings, localize, plan, and control the vehicle. With several available …
Recent works have proposed end-to-end autonomous vehicle (AV) architectures comprised of differentiable modules achieving state-of-the-art driving performance. While they provide …
S Carmichael, A Buchan, M Ramanagopal… - arXiv preprint arXiv …, 2024 - arxiv.org
Conventional cameras employed in autonomous vehicle (AV) systems support many perception tasks, but are challenged by low-light or high dynamic range scenes, adverse …
J Chen, Z Xu, M Tomizuka - 2020 IEEE/RSJ International …, 2020 - ieeexplore.ieee.org
Current autonomous driving systems are composed of a perception system and a decision system. Both of them are divided into multiple subsystems built up with lots of human …