Yohan Dupuis — accepted AI-conference papers

2022

SynWoodScape: Synthetic Surround-View Fisheye Camera Dataset for Autonomous Driving

Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar, Hazem Rashed, Senthil Kumar Yogamani, Pascal Vasseur +1

RA-L 2022

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 used for parking visualization and automated parking. Four fisheye cameras with a <inline-formula xmlns:mml="http://www.w3.or

Cited by 65 Source ↗Scholar ↗

2020

Autonomous RGBD-based Industrial Staircase Localization from Tracked Robots

Jérémy FOURRE, Vincent VAUCHEY, Yohan DUPUIS, Xavier SAVATIER

IROS 2020poster

This paper presents an industrial staircase localization algorithm based on RGBD data from a tracked robot. This situation is really challenging as the camera is placed close to the ground. Moreover, RGBD can be really noisy on sparse staircases. Contrary to existing works, our evaluation relies on…

Cited by 8 Source ↗Scholar ↗

2020

The OmniScape Dataset

Ahmed Rida Sekkat, Yohan Dupuis, Pascal Vasseur, Paul Honeine

ICRA 2020poster

Despite the utility and benefits of omnidirectional images in robotics and automotive applications, there are no datasets of omnidirectional images available with semantic segmentation, depth map, and dynamic properties. This is due to the time cost and human effort required to annotate ground truth…

Cited by 55 Source ↗Scholar ↗