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Li Sun
Приєднався 2 сер 2012
ndt-mcl localization test at longshaw national park. @universityofsheffield
This is part of AdMaLL project @universityofsheffield
For more details, visit sites.google.com/view/fairspace-admall
For more details, visit sites.google.com/view/fairspace-admall
Переглядів: 20
Відео
Autopilot in NIO's NOP+: Exploring Power Swap Capabilities in the Service Stations
Переглядів 174Рік тому
Autopilot in NIO's NOP : Exploring Power Swap Capabilities in the Service Stations
Robot localization in a polytunnel
Переглядів 1582 роки тому
The localization system is conducted on SAGA Robotics's Thorvald platform and onsite tested in the polytunnel for strawberry growing in the Riseholme campus of the University of Lincoln.
Visual-Teach&Repeat Navigation using a Single Experience Map
Переглядів 1822 роки тому
IROS2021 presentation.
FAIR-Space field test at west wittering beach
Переглядів 1123 роки тому
Visit our project website for more details: sites.google.com/view/fairspace-admall Github: github.com/FAIRSpace-AdMaLL Dataset: drive.google.com/drive/folders/1pS4aoEwj1VxV9x5Hg5HrV8soTHA3rUHa?usp=sharing
Map-based localisation using multi-sensors
Переглядів 2723 роки тому
This is a ROS-based implementation to localize the robot with a pre-built point cloud map. Multi-sensor state estimation (using wheeled odometry, IMU and lidar) is implemented. Project website: sites.google.com/view/fairspace-admall Github: github.com/FAIRSpace-AdMaLL/ndt_localizer
NDT-Transformer: Large-Scale 3D Point Cloud Localisation
Переглядів 5453 роки тому
NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation, ICRA2021 presentation.
Scalable and robust robot localisation using NDT map representation
Переглядів 1,2 тис.3 роки тому
In this video, a robot localisation system is implemented in which lidar-inertial mapping and NDT-MCL are used. This system is demonstrated on a Jaguar 4x4 robot.
Semantic-guided Point Cloud Registeration for Lidar Mapping
Переглядів 1453 роки тому
Paper: Integrating semantic knowledge into 3D Normal Distributions Transform registration. 10.1109/LRA.2018.2848308
3D Lidar-based object detection and recognition
Переглядів 2,5 тис.3 роки тому
Real-time object detection using a 3D lidar sensor with a semantic map prior.
AdMaLL Project Review
Переглядів 813 роки тому
This is the annual review video for FAIR-SPACE AdMaLL project (website: sites.google.com/view/fairspace-admall).
Long-term Visual Teach-and-Repeat Navigation using a Single Topological Map
Переглядів 8133 роки тому
More research can be found on my website: sites.google.com/view/kevinlisun Or our project website: sites.google.com/view/fairsapce-admall
Visual-based Navigation in the Wild
Переглядів 1704 роки тому
This is the field test of Jaguar platform at Longshaw National Trust, Sheffield, UK. Project website: sites.google.com/view/fairsapce-admall
Visual-based Navigation in Unstructured Environment
Переглядів 1364 роки тому
This is the first field testing of AdMALL project (sites.google.com/view/fairsapce-admall) at Tankersley, Sheffield, UK.
Autonomous visual navigation for robotic delivery
Переглядів 2914 роки тому
An improved version of our jaguar platform (with vast).
Deep Neural Network for Robot to Localise Faster
Переглядів 2264 роки тому
Deep Neural Network for Robot to Localise Faster
Visual navigation using a Jaguar robot
Переглядів 3544 роки тому
Visual navigation using a Jaguar robot
Recurrent-OctoMap: Lidar mapping with semantics
Переглядів 1,7 тис.5 років тому
Recurrent-OctoMap: Lidar mapping with semantics
3DOF Pedestrian Trajectory Tracking & Prediction
Переглядів 2,3 тис.7 років тому
3DOF Pedestrian Trajectory Tracking & Prediction
clothes Recognition From Free-Configurations
Переглядів 6569 років тому
clothes Recognition From Free-Configurations
Robot Clothes Sorting with Interactive Perception!
Переглядів 2,3 тис.9 років тому
Robot Clothes Sorting with Interactive Perception!
Very nice! is there code available to try this out?
github.com/FAIRSpace-AdMaLL/ndt_localizer
Which tool did you use? Any GitHub repositories?
工作非常不错，但是没有看到论文发表
I want to work on this project, can you please share some more info?
Only Kevin can make it
qwpxs vyn.fyi
have a link ?
ieeexplore.ieee.org/abstract/document/8411109
Really great one keep it up
Beautiful robot, beautiful music. All is well :)
Thanks, Daniel! We need to grab the tail of this summer and collect some data to play with.
Hello! Which program are you using?
cool！
Awesome works, i can't access the code......can you share the code again
code?
open-source?
Good job Li... U know about some approach implementation with no need of firstly segmentation and removing of large planes? A great goal could be object pose recognition and tracking in real world random scenarios, where object could be moving or standing over random surfaces, even could be flying, with no large planes in the scene...
Yes, the end-to-end method can work without plane removal, but much more examples are required.