1 citations · 1 across the 2 of their papers we have counts for
7 papers
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving
Louis Gallagher, Varun Ravi Kumar, Senthil Yogamani +1
In this paper, we present a system for incrementally reconstructing a dense 3D model of the geometry of an outdoor environment using a single monocular camera attached to a moving…
Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving
Ibrahim Sobh, Ahmed Hamed, Varun Ravi Kumar +1
Deep neural networks (DNNs) have accomplished impressive success in various applications, including autonomous driving perception tasks, in recent years. On the other hand, current…
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani +3
State-of-the-art self-supervised learning approaches for monocular depth estimation usually suffer from scale ambiguity. They do not generalize well when applied on distance estima…
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric
Arindam Das, Pavel Krizek, Ganesh Sistu +5
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 dete…
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving
Varun Ravi Kumar, Sandesh Athni Hiremath, Stefan Milz +4
Fisheye cameras are commonly used in applications like autonomous driving and surveillance to provide a large field of view (). However, they come at the cost of stro…
FisheyeMODNet: Moving Object detection on Surround-view Cameras for Autonomous Driving
Marie Yahiaoui, Hazem Rashed, Letizia Mariotti +5
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 t…