128 citations · 207 across the 11 of their papers we have counts for
5 papers · 1 filter
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…