The problem statement concerned with Motion Planning is to transverse in an unknown environment and finding feasible paths while avoiding static and dynamic obstacles.
So far, we’ve narrowed it down to employing an Artificial Potential Field along with OctoMaps for the process. However, keeping in mind the early stages of development that the project is in, these specifics are subject to change in the future.
You can go through the following papers to get familiar with the sub-system and the scope it offers. These papers will also help you understand the various state of the art solutions to the problem: https://drive.google.com/drive/folders/1jd3PdycPLxPBdiX298xeUYnSFO2js7YS?usp=sharing
After this, you can do these courses:
- Robotics: Computational Motion Planning, https://www.coursera.org/learn/robotics-motion-planning
- Introduction to Self-Driving Cars, https://www.coursera.org/learn/intro-self-driving-cars#syllabus
- Motion Planning for Self-Driving Cars, https://www.coursera.org/learn/motion-planning-self-driving-cars#syllabus
- The Construct, https://www.youtube.com/channel/UCt6Lag-vv25fTX3e11mVY1Q
Author:
@bhavika-g
The problem statement concerned with Motion Planning is to transverse in an unknown environment and finding feasible paths while avoiding static and dynamic obstacles.
So far, we’ve narrowed it down to employing an Artificial Potential Field along with OctoMaps for the process. However, keeping in mind the early stages of development that the project is in, these specifics are subject to change in the future.
You can go through the following papers to get familiar with the sub-system and the scope it offers. These papers will also help you understand the various state of the art solutions to the problem: https://drive.google.com/drive/folders/1jd3PdycPLxPBdiX298xeUYnSFO2js7YS?usp=sharing
After this, you can do these courses:
Author:
@bhavika-g