Generative Adversarial Networks (GANs) is a novel class of deep generative models that
has recently gained significant attention. GANs learn complex and high-dimensional …

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 …

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 …

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 …