all AI news
Automatic Map Update Using Dashcam Videos. (arXiv:2109.12131v2 [cs.CV] UPDATED)
Jan. 20, 2022, 2:10 a.m. | Aziza Zhanabatyrova, Clayton Souza Leite, Yu Xiao
cs.CV updates on arXiv.org arxiv.org
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 for initiating and updating 3D maps
with dashcam videos, …
More from arxiv.org / cs.CV updates on arXiv.org
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
2 days, 17 hours ago |
arxiv.org
Fingerprint Matching with Localized Deep Representation
2 days, 17 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne