128 citations · 207 across the 11 of their papers we have counts for
14 papers
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs
Saravanabalagi Ramachandran, Jonathan Horgan, Ganesh Sistu +1
Scene categorization is a useful precursor task that provides prior knowledge for many advanced computer vision tasks with a broad range of applications in content-based image inde…
GP-net: Flexible Viewpoint Grasp Proposal
Anna Konrad, John McDonald, Rudi Villing
We present the Grasp Proposal Network (GP-net), a Convolutional Neural Network model which can generate 6-DoF grasps from flexible viewpoints, e.g. as experienced by mobile manipul…
Woodscape Fisheye Object Detection for Autonomous Driving -- CVPR 2022 OmniCV Workshop Challenge
Saravanabalagi Ramachandran, Ganesh Sistu, Varun Ravi Kumar +2
Object detection is a comprehensively studied problem in autonomous driving. However, it has been relatively less explored in the case of fisheye cameras. The strong radial distort…
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation
Pramit Dutta, Ganesh Sistu, Senthil Yogamani +2
Generating a detailed near-field perceptual model of the environment is an important and challenging problem in both self-driving vehicles and autonomous mobile robotics. A Bird Ey…
VGQ-CNN: Moving Beyond Fixed Cameras and Top-Grasps for Grasp Quality Prediction
A. Konrad, J. McDonald, R. Villing
We present the Versatile Grasp Quality Convolutional Neural Network (VGQ-CNN), a grasp quality prediction network for 6-DOF grasps. VGQ-CNN can be used when evaluating grasps for o…
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…
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…
Woodscape Fisheye Semantic Segmentation for Autonomous Driving -- CVPR 2021 OmniCV Workshop Challenge
Saravanabalagi Ramachandran, Ganesh Sistu, John McDonald +1
We present the WoodScape fisheye semantic segmentation challenge for autonomous driving which was held as part of the CVPR 2021 Workshop on Omnidirectional Computer Vision (OmniCV)…
OdoViz: A 3D Odometry Visualization and Processing Tool
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. The sy…
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…
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,…
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…
FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images
Anna Konrad, Ciarán Eising, Ganesh Sistu +3
Keypoint detection and description is a commonly used building block in computer vision systems particularly for robotics and autonomous driving. However, the majority of technique…
Collaborative Dense SLAM
Louis Gallagher, John B. McDonald
In this paper, we present a new system for live collaborative dense surface reconstruction. Cooperative robotics, multi participant augmented reality and human-robot interaction ar…