Multisource Fusion for Robust Road Detection Using Online Estimated Reliabilities
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2018.2865582
Abstract: For highly available automated driving, a robust road estimation is indispensable. In order to tackle the challenges of this task, many works employ a fusion of multiple sources, e.g., visually detected lane markings, leading vehicle,… read more here.
Keywords: road; robust road; fusion robust; fusion ... See more keywords
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3141821
Abstract: Land remote-sensing analysis is a crucial research in earth science. In this work, we focus on a challenging task of land analysis, i.e., automatic extraction of traffic roads from remote-sensing data, which has widespread applications… read more here.
Keywords: crowdsourced trajectories; road extraction; robust road; extraction ... See more keywords