Projects

Hybrid A* Path Planner
This is a search-based motion planner for non-holonomic vehicles navigating in unconstrained environments integrated with Gazebo ROS framework and tested successfully on AGV, IIT KGP’s autonomous car.

Island Search Algorithm
This is a novel heuristic search algorithm that reduces number of state expansion given the knowledge of "Island" nodes.


Eklavya 6.0
My team AGV IIT KGP participated in Auto-Nav Challenge at The 27th Annual Intelligent Ground Vehicle Competition held at Oakland University in Rochester, Michigan and finished runners up.
Publications
- Real-time Lane Detection, Fitting and Navigation for Unstructured Environments in International Conference of Image, Video Processing and Artificial Intelligence, China(2019) : S Shrivastava, et al.
- A Prototype of an Intelligent Ground Vehicle for Constrained Environment: Design and Development in IEEE International Conference on Control and Robots, South Korea(2019) : S Shrivastava, et al.