VNLSTM-PoseNet: A novel deep ConvNet for real-time 6-DOF camera relocalization in urban streets
Image-based relocalization is a renewed interest in outdoor environments, because it is an
important problem with many applications. PoseNet introduces Convolutional Neural …
important problem with many applications. PoseNet introduces Convolutional Neural …
[LIBRO][B] Light-weighted Deep Learning for LiDAR and Visual Odometry Fusion in Autonomous Driving
D Zhang - 2022 - search.proquest.com
Visual odometry is a prevalent way to deal with the relative localization problem, which is
experiencing rapid development applied to autonomous vehicles. Achieving rapid pose …
experiencing rapid development applied to autonomous vehicles. Achieving rapid pose …
Movement Estimation with SLAM through Multimodal Sensor Fusion
J Cedervall Lamin - 2024 - diva-portal.org
In the field of robotics and self-navigation, Simultaneous Localization and Map** (SLAM)
is a technique crucial for estimating poses while concurrently creating a map of the …
is a technique crucial for estimating poses while concurrently creating a map of the …