activity
20192023
most citedComputer vision in automated parking systems: Design, implementation and challenges

128 citations · 137 across the 4 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.RO2021

2.5D Vehicle Odometry Estimation

Ciaran Eising, Leroy-Francisco Pereira, Jonathan Horgan +3

It is well understood that in ADAS applications, a good estimate of the pose of the vehicle is required. This paper proposes a metaphorically named 2.5D odometry, whereby the plana…

cs.RO2021

A 2.5D Vehicle Odometry Estimation for Vision Applications

Paul Moran, Leroy-Francisco Periera, Anbuchezhiyan Selvaraju +5

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. Based…

cs.RO2021

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

Jonathan Horgan, Ciarán Hughes, John McDonald +1

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,…

cs.CV2021★ 128 cited

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

Markus Heimberger, Jonathan Horgan, Ciaran Hughes +2

Automated driving is an active area of research in both industry and academia. Automated Parking, which is automated driving in a restricted scenario of parking with low speed mano…

cs.CV2021

Near-field Perception for Low-Speed Vehicle Automation using Surround-view Fisheye Cameras

Ciaran Eising, Jonathan Horgan, Senthil Yogamani

Cameras are the primary sensor in automated driving systems. They provide high information density and are optimal for detecting road infrastructure cues laid out for human vision.…