How is the lining thickness verified? That is a great question! The robotic system utilizes LIDAR on the front and back of each robot in order to keep itself centered in the pipe. The LIDAR feedback also provides real-time thickness verification. At the end of the project, SippTech provides a report of actual lining thickness indexed throughout the length of the pipe.
#pipelineintegrity#trenchlesstechnology#fiftyyeardesignlife#thefutureofpipelinerehabilitation
Short video of our #ICRA 2024 paper on "Degradation Resilient LiDAR-Radar-Inertial Odometry" enabling the tight fusion between LiDAR and Radar (alongside IMU) for robust localization in environments that may involve self-similar geometries, dense obscurants such as smoke (for both look at the video!) or weak visual features. Datasets also released.
Abstract: Enabling autonomous robots to operate robustly in challenging environments is necessary in a future with increased autonomy. For many autonomous systems, estimation and odometry remains a single point of failure, from which it can often be difficult, if not impossible, to recover. As such robust odometry solutions are of key importance. In this work a method for tightly-coupled LiDAR-Radar-Inertial fusion for odometry is proposed, enabling the mitigation of the effects of LiDAR degeneracy by leveraging a complementary perception modality while preserving the accuracy of LiDAR in well-conditioned environments. The proposed approach combines modalities in a factor graph-based windowed smoother with sensor information-specific factor formulations which enable, in the case of degeneracy, partial information to be conveyed to the graph along the non-degenerate axes. The proposed method is evaluated in real-world tests on a flying robot experiencing degraded conditions including geometric self-similarity as well as obscurant occlusion. For the benefit of the community we release the datasets presented in this URL: https://lnkd.in/d2GbJQGZ#robotics#slamhttps://lnkd.in/dQTBRBD5
Day 6: Become a roboticist by Dr. John Vial
Topic : Lidar Mapping
Step 1: Using rviz add the map topic to visualize
Step 2: Teleoperate the bot slowly to map out the entire area
Check out this week’s “Did You Know” series, which features facts about how NKB utilizes our LiDAR scanner. Want to learn more about LiDAR scanning and how NKB can help you with your projects? Check out Mike’s latest blog! https://lnkd.in/gCq9jdvY#NKBarchitecture#NKBdesign#NKBcapabilities
Becoming a Roboticist - Mapping
After setting up Lidar and Depth cameras we now can have our Robot create a map of its surroundings. This is the next step in the process to enable our robot to navigate on its own.
ROS Lidar in Gazebo and Rviz (Tesla Bot Simulation)!
In will show you how to add a Lidar sensor in ROS for Gazebo and Rviz using my Tesla Bot simulation.
0:00 Introduction
0:42 What is a Lidar and How Does a Lidar Work?
1:44 Types of Lidars
2:38 Gazebo Lidar Sensor Plugin URDF
4:53 Lidar Gazebo Simulation
5:48 Lidar Rviz Simulation
📢 Want to see how LiDAR can transform your 3D models from good to game-changing?
In our latest webinar, you'll see how ARKA 360 uses LiDAR technology to create incredibly detailed 3D models, capturing everything from building heights to roof tilt and obstructions. This precision makes your projects faster and more accurate.
Catch the webinar and watch ARKA 360 in action https://lnkd.in/gZ6GqeWdSiddharth Gangal