Cameras are an essential part of sensor suite in autonomous driving. Surround-view
cameras are directly exposed to external environment and are vulnerable to get soiled …

Automotive cameras, particularly surround-view cameras, tend to get soiled by mud, water,
snow, etc. For higher levels of autonomous driving, it is necessary to have a soiling detection …

Surround-view cameras became an integral part of autonomous driving setup. Being directly
exposed to harsh environmental settings, they can get soiled easily. When cameras get …

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 …

Moving Object Detection (MOD) is an important task for achieving robust autonomous
driving. An autonomous vehicle has to estimate collision risk with other interacting objects in …

The task of lane detection has garnered considerable attention in the field of autonomous
driving due to its complexity. Lanes can present difficulties for detection, as they can be …

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 …

In this paper, we tackle Object Detection in fisheye images and study different object
representations. The standard bounding box fails in fisheye cameras due to the strong radial …

Road manhole covers are crucial components of urban infrastructure; however, inadequate
maintenance or poor marking can pose safety risks to vehicular traffic. This paper presents a …

In this paper, we present a deep neural network based real-time integrated framework to
detect objects, lane markings, and drivable space using a monocular camera for advanced …