A Jabbar, X Li, B Omar - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The Generative Models have gained considerable attention in unsupervised learning via a new and practical framework called Generative Adversarial Networks (GAN) due to their …
With the development of deep representation learning, the domain of reinforcement learning (RL) has become a powerful learning framework now capable of learning complex policies …
Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications. In spite of their prevalence …
S Boddupalli, AS Rao, S Ray - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Cooperative Adaptive Cruise Control (CACC) is a fundamental connected vehicle application that extends Adaptive Cruise Control by exploiting vehicle-to-vehicle (V2V) …
Quantum mechanics studies nature and its behavior at the scale of atoms and subatomic particles. By applying quantum mechanics, a lot of problems can be solved in a more …
A Li, S Chen, L Sun, N Zheng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The core value of simulation-based autonomy tests is to create densely extreme traffic scenarios to test the performance and robustness of the algorithms and systems. Test …
Wide-angle fisheye cameras are commonly used in automated driving for parking and low- speed navigation tasks. Four of such cameras form a surround-view system that provides a …
The rise of large foundation models, trained on extensive datasets, is revolutionizing the field of AI. Models such as SAM, DALL-E2, and GPT-4 showcase their adaptability by …
Automated vehicles rely heavily on image data from visible spectrum cameras to perform a wide range of tasks from object detection, classification, and avoidance to path planning …