Search Results for author: John McDonald

Found 12 papers, 2 papers with code

ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation

1 code implementation31 May 2022 Pramit Dutta, Ganesh Sistu, Senthil Yogamani, Edgar Galván, John McDonald

In this paper, we evaluate the use of vision transformers (ViT) as a backbone architecture to generate BEV maps.

2.5D Vehicle Odometry Estimation

no code implementations16 Nov 2021 Ciaran Eising, Leroy-Francisco Pereira, Jonathan Horgan, Anbuchezhiyan Selvaraju, John McDonald, Paul Moran

We show, by experimental results with a DGPS/IMU reference, that this model provides highly accurate odometry estimates, compared with existing methods.

Computer Vision

Woodscape Fisheye Semantic Segmentation for Autonomous Driving -- CVPR 2021 OmniCV Workshop Challenge

no code implementations17 Jul 2021 Saravanabalagi Ramachandran, Ganesh Sistu, John McDonald, Senthil Yogamani

This challenge served as a medium to investigate the challenges and new methodologies to handle the complexities with perception on fisheye images.

Autonomous Driving Computer Vision +1

OdoViz: A 3D Odometry Visualization and Processing Tool

1 code implementation15 Jul 2021 Saravanabalagi Ramachandran, John McDonald

OdoViz is a reactive web-based tool for 3D visualization and processing of autonomous vehicle datasets designed to support common tasks in visual place recognition research.

Visual Place Recognition

A 2.5D Vehicle Odometry Estimation for Vision Applications

no code implementations6 May 2021 Paul Moran, Leroy-Francisco Periera, Anbuchezhiyan Selvaraju, Tejash Prakash, Pantelis Ermilios, John McDonald, Jonathan Horgan, Ciarán Eising

This paper proposes a method to estimate the pose of a sensor mounted on a vehicle as the vehicle moves through the world, an important topic for autonomous driving systems.

Autonomous Driving Computer Vision

Computer vision in automated parking systems: Design, implementation and challenges

no code implementations26 Apr 2021 Markus Heimberger, Jonathan Horgan, Ciaran Hughes, John McDonald, Senthil Yogamani

In this paper, we discuss the design and implementation of an automated parking system from the perspective of computer vision algorithms.

3D Reconstruction Autonomous Driving +2

Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances

no code implementations26 Apr 2021 Jonathan Horgan, Ciarán Hughes, John McDonald, Senthil Yogamani

Vision-based driver assistance systems is one of the rapidly growing research areas of ITS, due to various factors such as the increased level of safety requirements in automotive, computational power in embedded systems, and desire to get closer to autonomous driving.

Autonomous Driving Computer Vision

FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images

no code implementations27 Feb 2021 Anna Konrad, Ciarán Eising, Ganesh Sistu, John McDonald, Rudi Villing, Senthil Yogamani

Keypoint detection and description is a commonly used building block in computer vision systems particularly for robotics and autonomous driving.

Autonomous Driving Benchmark +3

A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data

no code implementations29 Aug 2013 Karim Hammoudi, Fadi Dornaika, Bahman Soheilian, Bruno Vallet, John McDonald, Nicolas Paparoditis

In this paper we present a practical approach for generating an occlusion-free textured 3D map of urban facades by the synergistic use of terrestrial images, 3D point clouds and area-based information.

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