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EcoPRT -Two Person Self-Driving Personal Rapid Transit System
EcoPRT -Two Person Self-Driving Personal Rapid Transit System
Guide: Dr. Seth Hollar
Institute: North Carolina State University.
Description: EcoPRT is a two-person Self-Driving Personal Rapid Transit system. My research
is focused on the development of a low-cost LIDAR unit for use in obstacle detection,
implementing controller algorithm for smooth actuation of the vehicle, object classification and
semantic segmentation using deep learning. Finally, the individual components are integrated
together for autonomous movement of the vehicle. Currently I am working on fusing obstacle
detection from LiDAR and stereovision camera point cloud.
Udacity Self-Driving Car Engineer Nanodegree Projects
Udacity Self-Driving Car Engineer Nanodegree Projects
Institute: Udacity
Description: This 11-month Nanodegree course focused on working on different areas of Autonomous Vehicle research. Graduating in the first cohort, I worked on projects in Computer Vision, Machine Learning, Sensor Fusion, localization, path planning, semantic segmentation and robotic controls.
Robotic navigation in the presence of static and dynamic obstacles
Robotic navigation in the presence of static and dynamic obstacles
Guide: Prof. P. K. Sa, Computer Science Engineering, NIT Rourkela
Institute: NIT Rourkela
Description: The project aimed at the development of a novel algorithm for robotic navigation. A toy car was equipped with Kinect, GPS, X-Bee wireless module, AVR microcontroller and Laptop to test the working
Unmanned Ground Vehicle
Unmanned Ground Vehicle
Guide: Prof. B D Subudhi, HOD, Electrical Engineering, NIT Rourkela
Institute: DRDO & NIT Rourkela
Description: The project aimed at the development of a vehicle with 40-kilogram payload capacity, capable of traversing roads with lane markings using computer vision and avoiding the obstacles using Hokuyo Laser Scanner. GPS was used to move on unmarked roads or open fields. Wireless E-Stop was added for stopping in case of emergency
Drone waypoint navigation
Drone waypoint navigation
Guide: Prof. Mo-Yuen Chow, Electrical & Computer Engineering, North Carolina State University
Institute: North Carolina State University
Description: The project aims at developing applications to control the off the shelf drones using any PC or through voice. I worked on making the drone traverse through waypoints and reach its destination.
Real time differentiation of objects based on their colour, shape and size
Real time differentiation of objects based on their colour, shape and size
Guide: Prof. Kavi Arya, IIT BOMBAY
Institute: IIT BOMBAY
Description: The project aimed at implementation of techniques to differentiate between object in real time. Methods such as color detection, contour based detection, SURF, blob detection were used. SparkV robot was programmed to act as autonomous cleaner based on overhead camera, using these techniques
Swarm Robobtics and Grid Solving
Swarm Robobtics and Grid Solving
Institute: NIT Rourkela
Description: Two robots were assigned the task of sweeping a grid simultaneously, picking up the blocks in path and putting them in the pits at the end of grid
Augmented Reality
Augmented Reality
Institute: NIT Rourkela
Description: A pattern was detected using SURF and the video frames were augmented on the pattern
Mobile controlled robot
Mobile controlled robot
Institute: NIT Rourkela
Description: A 4 wheeled robot was controlled using DTMF decoding. The robot can be controlled using a mobile phone from anywhere.
Persistence of vision
Persistence of vision
Guide: CYBORG(Robotics Club, NIT Rourkela)
Institute: NIT Rourkela
Description: A series of LEDs were placed on a fast moving object and their switching was controlled, giving rise to visible patterns
Laser Guitar
Laser Guitar
Description: A series of 6 laser and ldr pairs were used to act as strings and switches were used as frets.
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