3D obstacle detection and tracking
Hey folks,
I am looking for a ROS node, that will allow me to detect and track an arbitrary object/obstacle in 3D space. It does not have to detect whether that obstacle is a human, a car, a tree, ... (you get the idea). I am only interested in the current position and the "size" of an obstacle. Approximating the obstacle as a sphere would be enough. Thus, everything the node would need to do is:
- Detect an arbitrary obstacle in 3D space (point cloud or depth map available)
- Track that obstacle giving me it's current (relative) position (and velocity)
- Determining the obstacle's size (spherical approximation is more than enough)
My setup is basically an nVidia Jetson TX2 (Ubuntu 16.04, ROS kinetic) with a stereovision camera, including OpenCV, CUDA, ... Therefore, computation power is widely available.
Thanks folks!
You're asking for quite a lot there to be honest. Try looking into deep learning approaches for object detection and image segmentation. But I don't know of any ROS nodes close to doing what you want out of the box.
Agreed. I have developed things like that in house for a robotics company because it did not widely exist before and is very dependent on the sensors and situations.
if you find one though, I'd be interested in seeing it and/or contributing some of my elements to it
Well there is a node (or multiple nodes) by Intel for Obstacle Detection and Tracking (IntelROSProject) but they all rely on an x86_64 architecture