SLAMcore Wheel Odometry Integration Demo
Автор: Slamcore
Загружено: 2021-09-22
Просмотров: 794
Описание:
How can sensor fusion improve SLAMcore's localization and mapping accuracy and robustness?
In this video, we compare SLAMcore's localization performance when using visual-inertial data only against fused visual-inertial and wheel odometry data. By fusing an additional source of data, SLAMcore is able to increase robustness and continue estimating a robot's position even when its visual sensor is occluded.
To learn more about wheel odometry fusion and how to integrate SLAMcore with the ROS1 navigation stack visit: https://docs.slamcore.com/navstack-in...
SLAMcore provides state-of-the-art localization, mapping and perception algorithms for robots and consumer products, turning sensor data into real-time spatial understanding.
Since this video's release in 2022, Slamcore has focused its efforts on hardware development to deliver its groundbreaking Spatial AI technology and Real Time Location System (RTLS) offering to OEMs and for retrofitting to Material Handling Equipment (MHE). While SDK is still available, it is no longer a primary offering.
Find out more:
https://www.slamcore.com
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