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Name: Yueshan Li
Type: User
Name: Yueshan Li
Type: User
Off-line coverage path generation algorithms. Adaptive to irregular obstacles and depth. Developed in the Robotic Lab of Dartmouth College
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
Advanced augmented reality exercise. Project a 3D model onto an image such that the position and orientation of the model match the position and orientation of an AprilTag.
Basic augmented reality exercise. It defines a node that subscribe image topic, draw some segments on the image given a yaml file and publish the image to a new topic.
rosbag analyzer for AMoD RH3 exercise 19
Bag processer for AMoD RH3 exercise 20
A ROS node that subscribes image topic, detects required color and publishes result to another topic. For AMoD RH3 exercise 21.
ROS node to extract image from NVIDIA Jetson Nano camera and pubish it to a topic. For AMoD RH3 exercise 21
ROS packages for duckiebot localization using encoder, Apriltag and fused data.
This is for the object detection exercise of AMoD course 2020 at ETHz. The repo is based on the object-detection-ex-template provided by this link https://github.com/duckietown-ethz/object-detection-ex-template.git
ros based template for duckietown
A ROS wrapper that maps wheel commands to actions and observations to camera images on a ROS topic. Used in duckietown simulator.
Get wheel encoder data and convert it to driving distance. ROS node for AMoD RH5 exercise 27-28
control robot via mavros and extract data sent in rostopic
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.