Top Tweets for #vSLAM
Insight 9 FOV & HDR Challenge! 💡
Sudden light transitions can cause exposure lag & depth data loss in Embodied AI vision, while a narrow FOV limits perception.
#EmbodiedAI #Robotics #ComputerVision #VSLAM
#SLAM #MULTICAMERA #AI #VSLAM #MOTIONCAPTURE We have developed a dedicated six-camera module with an integrated IMU specifically for applying VSLAM to human motion capture.
The module supports synchronized output of five grayscale video streams at 720p / 20 FPS, one color video stream, and 200 Hz IMU data. It is designed for multi-camera visual-inertial SLAM development.
We are currently planning to integrate this module into a helmet-mounted system for indoor localization and motion-capture applications.
VSLAM robustness test! 🚀
Watch Insight 9 handle rapid hand shaking, robotic arm swings, complex trajectories, and sudden obstacles!
It maintains continuous tracking and stable pose estimation even under high-dynamic conditions! 🦾
#SLAM #Robotics #EmbodiedAI #VSLAM
Insight 9 Onboard SLAM Test #6 🎥
Drawing its own 5-star review! ⭐
We made the robotic arm trace a 5-pointed star. Handles sharp angles, precise stops & crossing paths.
How many stars would you give it? Drop your rating below! 👇🤖🦾
#SLAM #Robotics #EmbodiedAI #VSLAM
Insight 9 Onboard SLAM Test #5🎥
Sharp robotic arm triangular turns, plus moving obstacles and dynamic interference.
Even with drastic direction shifts and complex surroundings, our onboard VSLAM maintains stable tracking with zero drift.
#SLAM #Robotics #EmbodiedAI #VSLAM
Insight 9 Onboard SLAM Brutal Test Series #4 🎥
We mounted Insight 9 on a robotic arm and cranked up the spin speed. Despite intense single-axis rotation, the onboard VSLAM keeps trajectory continuous and stable with zero tracking loss! 🤖🦾
#SLAM #Robotics #EmbodiedAI #VSLAM
Insight 9 Onboard SLAM Brutal Test Series #2🎥
Watch how our AI-native spatial camera handles rapid, continuous motion.
The built-in VSLAM trajectory stays perfectly stable with zero tracking loss, powered by a 24G accelerometer.
#SLAM #Robotics #EmbodiedAI #VSLAM
Insight 9 SLAM Robustness Test 🎥
We put our AI-native spatial camera through rapid, dynamic movements. Watch the right screen: TinyNav VSLAM trajectory in RVIZ stays perfectly stable. 24G accelerometer & 188° ultra-wide FOV = zero tracking loss.#SLAM #Robotics #EmbodiedAI #VSLAM
This tutorial demonstrates how to set up multi-camera #VSLAM with @Nvida Isaac #ROS Visual SLAM using multiple @RealSenseai cameras with hardware synchronization!
https://t.co/r6sMLsq0YQ

🚀#HighlyCitedPaper!
🗺️Performance Investigations of #VSLAM and #GoogleStreetView Integration in Outdoor Location-Based #AugmentedReality under Various Lighting Conditions
🔗Read at: https://t.co/PBJSEdXRPs
Authors: @AndraBrata et al. from @okayama_uni @filkomUB
#AR #SLAM

🚀#HighlyCitedPaper!
🕶️A Proposal of In Situ #AuthoringTool with Visual-Inertial #SensorFusion for Outdoor Location-Based #AugmentedReality
🔗Read at: https://t.co/3oQUxywRYj
Authors: @AndraBrata et al. from @okayama_uni
@filkomUB
#AR #VSLAM #SLAM #LAR #GSV #HARUS #3DModel

『ロボットに“人間の周辺視野に近い視覚”を与えるセンシングモジュール』
(最大188° の広角視野、高ダイナミック IMU(24g)、ROS/ROS2 でプラグ&プレイ)
https://t.co/4LlMCPumsl
#SpatialAI #AutonomousSystem #VSLAM #ROS2 #EdgeAI #RoboticVision #SensingTechnology #LooperRobotics
Intel’s #Robotics AI Suite Fastmapping demo enables collaborative #VSLAM with @RealSenseai depth camera: https://t.co/TVkYuPpEUq

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