activity
20182021
most citedLearning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU

50 citations · 52 across the 4 of their papers we have counts for

collaborators

6 papers

eess.AS20212 cited

Universal Neural Vocoding with Parallel WaveNet

Yunlong Jiao, Adam Gabrys, Georgi Tinchev +3

We present a universal neural vocoder based on Parallel WaveNet, with an additional conditioning network called Audio Encoder. Our universal vocoder offers real-time high-quality s…

cs.CV2020

Resolution Correspondence Networks

Georgi Tinchev, Shuda Li, Kai Han +2

In this paper, we aim at establishing accurate dense correspondences between a pair of images with overlapping field of view under challenging illumination variation, viewpoint cha…

cs.RO2020

Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure

Milad Ramezani, Georgi Tinchev, Egor Iuganov +1

In this paper, we present a factor-graph LiDAR-SLAM system which incorporates a state-of-the-art deeply learned feature-based loop closure detector to enable a legged robot to loca…

cs.CV2019

SKD: Keypoint Detection for Point Clouds using Saliency Estimation

Georgi Tinchev, Adrian Penate-Sanchez, Maurice Fallon

We present SKD, a novel keypoint detector that uses saliency to determine the best candidates from a point cloud for tasks such as registration and reconstruction. The approach can…

cs.RO201950 cited

Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU

Georgi Tinchev, Adrian Penate-Sanchez, Maurice Fallon

Localization in challenging, natural environments such as forests or woodlands is an important capability for many applications from guiding a robot navigating along a forest trail…

cs.RO2018

Seeing the Wood for the Trees: Reliable Localization in Urban and Natural Environments

Georgi Tinchev, Simona Nobili, Maurice Fallon

In this work we introduce Natural Segmentation and Matching (NSM), an algorithm for reliable localization, using laser, in both urban and natural environments. Current state-of-the…