Patrick Mäder — accepted AI-conference papers

2021

OmniDet: Surround View Cameras Based Multi-Task Visual Perception Network for Autonomous Driving

Varun Ravi Kumar, Senthil Kumar Yogamani, Hazem Rashed, Ganesh Sistu, Christian Witt, Isabelle Leang +2

RA-L 2021

Surround View fisheye cameras are commonly deployed in automated driving for 360 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">°</sup> near-field sensing around the vehicle. This work presents a multi-task visual perception network on unrectified fish

Cited by 111 Source ↗code ↗Scholar ↗

2020

FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving

Varun Ravi Kumar, Sandesh Athni Hiremath, Markus Bach, Stefan Milz, Christian Witt, Clément Pinard +2

ICRA 2020poster

Fisheye cameras are commonly used in applications like autonomous driving and surveillance to provide a large field of view (> 180o). However, they come at the cost of strong non-linear distortions which require more complex algorithms. In this paper, we explore Euclidean distance estimation on fish…

Cited by 85 Source ↗Scholar ↗

2020

UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models

Varun Ravi Kumar, Senthil Yogamani, Markus Bach, Christian Witt, Stefan Milz, Patrick Mäder

IROS 2020poster

In classical computer vision, rectification is an integral part of multi-view depth estimation. It typically includes epipolar rectification and lens distortion correction. This process simplifies the depth estimation significantly, and thus it has been adopted in CNN approaches. However, rectificat…

Cited by 61 Source ↗Scholar ↗