IVDC's Projects for IITISoC '23

IITISoC is an excellent opportunity for the students of IIT Indore to enhance your skills and get started with Open-Source Contribution. We present to you projects in Autonomous Driving, Robotics using tools like ROS , Matlab.

We are proud to share that --Mathworks-- will be mentoring us for 4 of our PS this time.

IVR1 - Lane detection using limited computation power - Intermediate

Description: Autonomous Vehicles require advanced lane detection algorithms to perceive lanes on the road( Street as well as rough road lanes). Develop a robust lane detection pipeline that consumes meager computational resources (No GPU allowed, limited CPU and RAM usage) and could be deployed on NVIDIA Jetson Nano Board or even a Raspberry Pi board. If this project is successful, you will be involved in actually implementing your software on a real-world vehicle (in the autonomous vehicle team of the IVDC club), especially for IGVC International Competition

Specification: • Computer Vision, DL, Pytorch/Tensorflow

IVR2 - Autonomous Navigation for Vehicles in Rough Terrain Mathworks

Advanced
Description: Demo a robot/vehicle (AMR, front loader, excavator, curiosity mars rover) working in a cluttered field (off-road) moving from point A to point B. The field should have minor bumps and ditches

Specification: • Autonomous Vehicles, Computer Vision, Robotics, Image Processing, Mobile Robots, SLAM, UGV, Optimization , MATLAB

IVR3 - Underwater Drone Hide and Seek Mathworks

Intermediate
Description: Design algorithms for underwater drones to compete in a hostile situation, where a first drone is trying to stay stealth and a second drone is actively searching for the first drone. Develop an algorithm to navigate a stealth underwater drone without being detected. Develop another algorithm to navigate a second underwater drone to search for the stealth drone.

Specification: • Underwater Drones, Control, Optimisation, Game Theory/RL, Military

IVR4 - Make a Pet-Quadruped Robot Mathworks

Beginner
Description: Import a CAD model of the Quadruped robot in Gazebo and use relevant MathWorks packages and open-source libraries to control its movement. It must be able to perform certain pre-determined tasks involving human-robot interaction. You may get a chance to use your code on a similar quadruped robot for the Robotics Club(post-IITISOC).

Specification: • Quadruped Robots, Control, Path planning, Human-Robot Interaction

IVR5 - Path Planning for Autonomous Race Cars Mathworks

Intermediate
Description: Finding an optimal racing line can be considered an optimization problem. Work with MATLAB® and the Optimization Toolbox™ to develop the algorithm.

Specification: • Autonomous Vehicles, Optimization Techniques/ RL, Modeling and Simulation , MATLAB

ML13 - Object detection using Lidar Data Intermediate

Description: Make a Model to detect objects using LIDAR data.
Specification: • Develop a deep learning framework that utilizes LiDAR data for 3D object detection in autonomous vehicles. The framework should accurately identify and classify objects, including cars, pedestrians, and obstacles. Train the model on diverse LiDAR datasets to enable reliable and real-time perception of the surrounding environment, ensuring safe and efficient autonomous navigation