all AI news
JVLDLoc: a Joint Optimization of Visual-LiDAR Constraints and Direction Priors for Localization in Driving Scenario. (arXiv:2208.09777v2 [cs.CV] UPDATED)
Aug. 29, 2022, 1:14 a.m. | Longrui Dong, Gang Zeng
cs.CV updates on arXiv.org arxiv.org
The ability for a moving agent to localize itself in environment is the basic
demand for emerging applications, such as autonomous driving, etc. Many
existing methods based on multiple sensors still suffer from drift. We propose
a scheme that fuses map prior and vanishing points from images, which can
establish an energy term that is only constrained on rotation, called the
direction projection error. Then we embed these direction priors into a
visual-LiDAR SLAM system that integrates camera and LiDAR …
arxiv constraints cv driving lidar localization optimization
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US