Lane and curvature radius detection using custom computer vision pipeline. No major functions from the OpenCV library are used.
Lane Detection using the method of finding contours.
Lane Detection using the method of finding hough lines.
Detected the AR Code from the given video and projected a cube on each frame. No major inbuilt functions are used to solve the problem.
Detected green colored block from an environment containing other colored blocks. The block is then picked from its place and placed at a distance.
Detected the AR Code and projected the Testudo image on the AR Code without loosing its pose. Minimal inbuilt functions are used.
The performance of the self designed robot is analyzed by using different techniques (IMU and Encoder count) to find the angle of rotation and the distance travelled.
This project is developed as part of my work at Teleparadigm Networks, Hyderabad.
Designed a toy car using SolidWorks and exported the design to URDF for simulation using Gazebo. The toy car is controlled using teleop. The lidar is integrated on top of the designed car for obstacle detection.
This project is inspired from the Boston Dynamics SPOT Robot. The robot is designed using SolidWorks and it's URDF file is generated for simulation. To improve the mobility on a flat terrain, the robot is designed with wheels for each leg.
Simulation of the search and rescue operation using two turtlebots with ArUco markers as identifiers. Firstly, one turtlebot searches in the generated pgm map with given possible coordinates and finds the pose and position of the identified markers. Once the search operation finishes, the resue bot then goes to the identified markers in order of the ArUco IDs.