Kudan and MRDVS announce a new collaboration! Integrating KdVisual into smart sensor modules to deliver real-time, on-module localization for robots and industrial fleets.
kudan.io/?p=3422#Robotics#VisualSLAM#PhysicalAI
Visual SLAM has made major success in static scenes — now let’s explore the dynamic world we live in!
At #CVPR2025, we introduce 4DTAM, 4D Tracking & Mapping using dynamic surface Gaussians optimized through diff. rendering.
muskie82.github.io/4dtam/
w/ @BaeGwangbin@AjdDavison
🔥 Read our Paper
📚 Comprehensive Performance Evaluation between Visual SLAM and LiDAR SLAM for Mobile Robots: Theories and Experiments
🔗 mdpi.com/2076-3417/14/9/3945
👨🔬 by Yu-Lin Zhao et al.
#3DSLAM#VisualSLAM
This article is the second part of the Robotics blog series. Here, we cover SLAM, monocular visual SLAM, and how to implement it in Python.
We've also explored key concepts in robotics perception, including image formation, epipolar geometry, mapping, bundle adjustment, and loop closure.
learnopencv.com/monocular-sl…
It's a great starting point for anyone learning about SLAM and Visual SLAM.
#python#monocularslam#visualslam#robotics#orb