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Automatic Map Update Using Dashcam Videos
[article]
2022
arXiv
pre-print
Autonomous driving requires 3D maps that provide accurate and up-to-date information about semantic landmarks. Due to the wider availability and lower cost of cameras compared with laser scanners, vision-based mapping solutions, especially the ones using crowdsourced visual data, have attracted much attention from academia and industry. However, previous works have mainly focused on creating 3D point clouds, leaving automatic change detection as open issues. We propose in this paper a pipeline
arXiv:2109.12131v2
fatcat:aivdlxkrzfeevk6wo6twz75we4