Thinking, Learning.

Projects

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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.


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


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Language Driven Outfit Style Enhancement
This is a tool for stylising one's clothing through textual description using GANS.

The image shown was the result of textual description "Purple Flower".



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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

  1. 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.
  2. 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.

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