COAST Autonomous
Autonomous Vehicle

COAST Autonomous

A self-driving technology company providing mobility solutions to move people and goods at appropriate speeds in urban, industrial, and campus environments


  • Date: May 2022 - August 2022
  • Role: Robotics Engineer Intern
  • Skills: Deep Learning, C++, ROS, Computer Vision, Ubuntu, Git

At COAST Autonomous, I worked as a Robotics Engineer Intern, contributing my skills and knowledge to the development of cutting-edge technologies in the field of autonomous vehicles.

Key Responsibilities and Achievements:

  1. Trajectory Prediction of Surrounding Traffic Agents: Developed a novel RNN-LSTM seq-to-seq model for predicting the motion of traffic agents in urban and high-traffic environments, achieving an impressive 80% accuracy.

  2. Semantic Segmentation for Driving Space Detection: Utilized DeepLabV3 segmentation model on Cityscape dataset to accurately identify drivable spaces and obstacles in rural and construction areas.

  3. Dynamic Environment Perception: Addressed challenges in AV navigation by developing solutions for navigating urban and densely populated areas.

  4. Autonomous Vehicle Development: Played a role in the advancement of autonomous vehicle technology, contributing to the development of vehicles.

  5. Industry Exposure: Gained practical insights into real-world autonomous vehicle projects, enhancing skills and knowledge in robotics engineering.