Obstacle avoidance with pure Vision approach?
I would like to do obstacle avoidance using pure Vision approach. I will use ROS and Ubuntu as a framework. The application is in construction industry so would like to detect the material winch is handling by the crane to perform obstacle avoidance . My question is , if its possible to use only vision approach for obstacle avoidance where the distance form the camera to the object can be 30-40m. I will use the zoom for better approach. If its possible to use only Vision camera any starting algorithm to look at it?
Thanks
this is far too broad. can you take a look at the faq and try to improve your question ?
(we also cannot do your research)
Actually I think vision based obstacle avoidance is about the biggest topic in robotics around the world, so yes it is possible. But a simple google search would also have told you that.
yes, but how about if the distance to the camera is more then 50m? Is this possible in that case and which approach to use it?
@astronaut again, you will not get a ready made solution here. For example this research has all components you need. Its up to you to either translate it to OpenCV or any other computer vision framework.
thanks. I need to find monocular Camera that is able to detect the swing angle and obstacle at a distance around 40metres and meet the other requirements like dynamic range. Any suggestions of model or brand of monocular camera that meet these requirements?