S. S. L. A. M. (Stereo Simultaneous Localization and Mapping)
- 2 Devlogs
- 12 Total hours
S. S. L. A. M. Update 2
Quick Overview
Hello, for those who haven’t seen this project yet, I am creating a new way to create SLAM for robotics. Usually, to create SLAM, people have to spend tens of thousands of dollars on LiDAR. However, for my rookie FRC team, I am going to use a stereo (camera) system to find the 3d position of objects.
What I Just Did
I added in more location-finding systems. As I said in the previous log, I am taking advantage of the Apriltags that will be positioned around the arena so that the robot can find its position on the field using a coordinate system and its angle of orientation. I am also in the process of making a pathfinding system that takes into account every obstacle on the field. The function would take an arbitrary coordinate as the target and compute the direct line from the robot to the target. If there is an obstacle in the way (Computed mathematically), the program will estimate an arc around the obstacle to the target.
S. S. L. A. M. Update 1
Quick Overview
Hello, I am creating a new way to create SLAM for robotics. Usually, to create SLAM, people have to spend tens of thousands of dollars on LiDAR. However, for my rookie FRC team, I am going to use a stereo (camera) system to find the 3d position of objects.
What I Just Did
I laid out the basic computational framework for this project. I am going to be running the computation in Python, and the robot commands in C++. I am using OpenCV to do some of the math and taking advantage of the Apriltags to find the robot’s position on the field.
