LiDAR surveyUse OxTS’ range of survey-specific Inertial Navigation Systems to georeference LiDAR data from almost any sensor. Mobile mappingGeoreference LiDAR, cameras, and other sensors for ground based mapping. Platform integration Aerial mobility and drones Autonomous mining vehicles Autonomous trucks...
“We were looking for a compact, precise and cost-effective inertial navigation system. SBG Systems’ INS was the perfect match.” David M, CEO University of Waterloo “Ellipse-D from SBG Systems was easy to use, very accurate, and stable, with a small form factor—all of which were ...
GNSS-aided navigationTime-delayed systemInertial navigationGlobal navigation satellite system (GNSS) receivers suffer from an internal time-delay of up to several hundred milliseconds leading to a degeneration of position accuracy in high-dynamic systems. With the increasing interest in GNSS navigation, ...
The sensor suite consists of an Inertial Measurement Unit (IMU), a Global Navigation Satellite System (GNSS) receiver, a video camera, an altimeter, and an inclinometer. The camera and machine vision systems can track features from the environment and calculate the optical flow. These data, ...
An efficient and robust multisensor-aided inertial navigation system with online calibration that is capable of fusing IMU, camera, LiDAR, GPS/GNSS, and wheel sensors. Use cases: VINS/VIO, GPS-INS, LINS/LIO, multi-sensor fusion for localization and mappi
Learn about GNSS Aided Navigation and Tracking with James L Farrell Phd. Formulations, algorithm generation, system integration and innovations.
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(2021), however, tightly couple raw GNSS data into the visual-inertial system. Li et al. (2022) utilize Precise Point Positioning (PPP) in a factor graph framework and improves the accuracy through high precision carrier phase. Liu et al. propose g-MSCKF and emphasize its observability-aware...
In this work, we proposed a scheme of a SLAM system using a GNSS (Global Navigation Satellite System), IMU (Inertial Measurement Unit) and LiDAR sensor using the position of pole-like objects as the features for SLAM. The scheme combines a traditional preprocessing method and a small scale ...
1. Intelligent navigation is an essential function in a wide range of applications including autonomous driving and robot navigation. Simultaneous Localization and Mapping (SLAM) is the most widely...