Sign Up to like & get
recommendations!
0
Published in 2019 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2019.2927123
Abstract: In this letter, we develop a low-cost stereo visual-inertial localization system, which leverages efficient multi-state constraint Kalman filter (MSCKF)-based visual-inertial odometry (VIO) while utilizing an a priori LiDAR map to provide bounded-error three-dimensional navigation. Besides…
read more here.
Keywords:
prior lidar;
map constraints;
inertial localization;
visual inertial ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3152476
Abstract: Using publicly accessible maps, we propose a novel vehicle localization method that can be applied without using prior light detection and ranging (LiDAR) maps. Our method generates OSM descriptors by calculating the distances to buildings…
read more here.
Keywords:
localization;
lidar map;
vehicle localization;
prior lidar ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3170627
Abstract: 3D LiDAR maps are playing a more and more important role in intelligent vehicle localization. In this paper, the proposed SeqPolar localization method consists of two parts. The first part is a novel node-based LiDAR…
read more here.
Keywords:
vehicle;
polarized lidar;
localization;
lidar map ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0257550
Abstract: As humans are the primary geomorphic agents on the landscape, it is essential to assess the magnitude, chronological span, and future effects of artificial ground that is expanding under modern urbanization at an alarming rate.…
read more here.
Keywords:
lidar map;
teotihuacan valley;
future;
geomorphic agents ... See more keywords