Surround-view fisheye cameras are commonly used for near-field sensing in automated
driving. Four fisheye cameras on four sides of the vehicle are sufficient to cover 360° around …

Surround-view cameras are a primary sensor for automated driving, used for near-field
perception. It is one of the most commonly used sensors in commercial vehicles primarily …

Abstract Bird's-eye-view (BEV) grid is a common representation for the perception of road
components, eg, drivable area, in autonomous driving. Most existing approaches rely on …

Moving object detection and segmentation is an essential task in the Autonomous Driving
pipeline. Detecting and isolating static and moving components of a vehicle's surroundings …

Electric Vehicles are increasingly common, with inductive chargepads being considered a
convenient and efficient means of charging electric vehicles. However, drivers are typically …

Self-driving cars, believed to be on track to become a seven trillion-dollar industry by 2050,
are likely to be a popular mode of transportation in the near future, as the technology …

In the realm of Adversarial Distillation (AD), strategic and precise knowledge transfer from an
adversarially robust teacher model to a less robust student model is paramount. Our …

With the rapid recent development, deep learning based object detection techniques have
been applied to various real-world software systems, especially in safety-critical applications …

Rapid advancements in connected and autonomous vehicles (CAVs) are fueled by
breakthroughs in machine learning, yet they encounter significant risks from adversarial …

Object detection is a comprehensively studied problem in autonomous driving. However, it
has been relatively less explored in the case of fisheye cameras. The strong radial distortion …