Implementing Fast-LIO Robot SLAM Indoor Positioning Algorithm with RK3588, ROS2 Humble, EasyMQoS, and MID360

Implementing Fast-LIO Robot SLAM Indoor Positioning Algorithm with RK3588, ROS2 Humble, EasyMQoS, and MID360

To ensure stable and high-precision outdoor positioning, I started using a 3D LiDAR, the MID360 LiDAR.This LiDAR transmits point cloud data to the host via Ethernet, powered by an external 12V power supply.The implementation mainly includes the following aspects:1. Building the hardware unmanned vehicle platform2. Compiling the MID360 driver and testing it on RK3588-ROS2-Humble3. Compiling … Read more

Introducing GCSLAM: A Novel Parking SLAM Algorithm

Introducing GCSLAM: A Novel Parking SLAM Algorithm

This article presents a globally consistent semantic SLAM system (GCSLAM) and a semantic fusion localization subsystem (SF-Loc), achieving accurate semantic map construction and robust localization in complex parking environments. The system utilizes visual cameras (front and surround), IMU, and wheel speed encoders as input sensor configurations. The first part of this work is GCSLAM. GCSLAM … Read more

Comparison of Various Visual SLAM Solutions

Comparison of Various Visual SLAM Solutions

Click on the above“Beginner’s Guide to Vision” to choose to add a Star or “Pin” Heavyweight content delivered first time This article is reprinted from | New Machine Vision In SLAM research, we usually need to test the performance of various solutions on different datasets. Below we mainly test the performance of six visual SLAM … Read more

Solving Scale Drift: Zhejiang University’s BEV-ODOM Enhances Monocular VO with BEV Representation! Achieving SOTA Positioning Accuracy!

Solving Scale Drift: Zhejiang University's BEV-ODOM Enhances Monocular VO with BEV Representation! Achieving SOTA Positioning Accuracy!

Click the button below to follow the 3D Vision Workshop official account and select Star to receive valuable insights promptly. Source: 3D Vision Workshop Add the assistant: cv3d001, note: direction + school/company + nickname, and we will add you to the group. A detailed 3D vision industry subgroup is attached at the end of this … Read more