3 papers
cs.RO2019
DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans
Ayush Dewan, Wolfram Burgard
Understanding the semantic characteristics of the environment is a key enabler for autonomous robot operation. In this paper, we propose a deep convolutional neural network (DCNN)…
cs.CV2018
Learning a Local Feature Descriptor for 3D LiDAR Scans
Ayush Dewan, Tim Caselitz, Wolfram Burgard
Robust data association is necessary for virtually every SLAM system and finding corresponding points is typically a preprocessing step for scan alignment algorithms. Traditionally…
cs.RO2017
Deep Semantic Classification for 3D LiDAR Data
Ayush Dewan, Gabriel L. Oliveira, Wolfram Burgard
Robots are expected to operate autonomously in dynamic environments. Understanding the underlying dynamic characteristics of objects is a key enabler for achieving this goal. In th…