𝐋𝐢𝐃𝐀𝐑 𝐒𝐞𝐫𝐢𝐞𝐬 𝐏𝐨𝐬𝐭 7: 𝐋𝐢𝐃𝐀𝐑 𝐋𝐢𝐧𝐠𝐨
Think self-driving cars speak a secret language? It's LiDAR!
This A-Z glossary cuts through the technical terms and explains LiDAR technology in simple language. This post unlocks easy-to-understand definitions with illustrative diagrams that bring LiDAR concepts to life.
#ai#lidar#deeplearning
🧨 Waymo latest research paper "Late-to-Early Temporal Fusion for LiDAR 3D Object Detection" seems really cool.
🔗 It fuses temporal LiDAR scenes together across frames. So you're using 3 consecutive LiDAR files rather than one when doing 3D object detection... and it is better, more consistent, and avoids ghost issues!
But what? Late-To-Early? What is that?
👉🏼 In early-to-early, we fuse raw data (t-1) with raw data (t)
👉🏼 In late-to-late, we fuse backbone (t-1) with backbone (t)
👉🏼 In late-to-early, we fuse backbone (t-1) with raw data (t)
Learn more about LiDAR Engineering, and LiDAR skills by getting access to my daily emails, and the LiDAR Engineer 2024 Roadmap 🗓️ (link in comments)
#deeplearning#lidar#robotics#selfdrivingcars#computervision
❌No LiDAR
❌No 3D bounding boxes
✅This 4D reconstruction was based on camera inputs only
The precision of #PRISM1 can be seen through the accurate representations of real-world scenes including the output depth and 3D velocity magnitude.
#PRISM1#EmbodiedAI#SelfDriving#AutonomousVehicles
Congratulations, Nirmal K A, your blog titled 'Perceiving the World in-’Depth’ with 3D LiDAR' is published on the nasscom website: https://lnkd.in/gMKm_-Am 👏👏👏
This piece provides a general overview about the 3D Lidar SLAM, draws a comparison between two popular Lidar SLAM algorithms in terms of performance, and looks at trends in SLAM with the advancements in modern technology and solutions.
#ignitariumblog#nasscom#3dlidar#lidar
LiDAR SLAM is so flipping cool
Two different 3D maps captured by robots with an Ouster LiDAR puck + IMU + wheel encoders being merged together into one !
🔍 Introducing Assistive Labeling : The Lidar Labeler app revolutionizes manual labeling with advanced assistive algorithms, reducing human effort and streamlining the process. Here's how:
🎯 Snap to Cluster: Automate cluster identification and labeling with spatial proximity analysis, reducing manual selection.
🌐 Semantic Labeling: Utilize ML and CV to recognize object boundaries and assign labels, eliminating manual labeling.
Discover the Lidar Labeler app's advanced assistive algorithms and streamline your labeling process today!
💡 #LidarLabeler#AssistiveLabeling#PointCloud#ML#CV#PointCloud#DataAnnotation#MachineLearning#ComputerVision#labelingsolutions#pointclouds#lidar#deeplearning #"
In what scenarios can 3D LiDAR be used in the field of industrial sensing?
✅ Traffic
✅ Robot
✅ Volume detection
✅ Container positioning
......
👇 Click to learn more about products and applications:https://lnkd.in/eAPMpnc4#3DLiDAR#Industrial
Finally, after taking around a month, I finished scratching my own omnidirectional robot in gazebo simulation by adopting nexus robot's frame and also adding rgbd camera and 2d lidar. #gazebo#ros2#ros2humble#omnidirectionalrobot
I help B2B Tech Firms Reach 100k+ Impressions with Viral Short-Form Content in 30 days or less (money back guaranteed) | Engineer turned Content Strategist | Book call in Featured section or DM
From customers to source code and back!
4moNice overview, Gopalakrishna Adusumilli.