Parth Pandey

Key Responsibilities: - Responsible for Intrinsic and Extrinsic calibration of the optical sensors. - Contributed to the frontend development using Three.js. Responsible for developing an association algorithm pertinent for collision prevention between humans and forklifts. - Developing an autonomous crack detection system for the auto parts of Tesla vehicles.

Key Responsibilities: - Development of Forklift pose estimation model with TRT-pose as a base model - Development of collision avoidance algorithm between forklift and humans with a use-case of a warehouse.

Developed a plug-and-play software package for rasterizing vehicular data and extracting the local scene context of each traffic agent in a realistic traffic scenario.

Key Responsibilities: - Design and Development of Electrorheological Damper and Magnetorheological finishing machine. - Programming and setting of Mitsubishi R04CPU, PROFINET and CC-LINK modules using ladder logic and structured text installed on a smart manufacturing unit developed in collaboration with the Automation Industry Association under Industry 4.0. - Implementation of Lane Detection and traffic light detection on an autonomous vehicle under Mahindra Driverless Car Challenge.

Key areas of focus : - Benchmarking of Ride parameters of Flat-ride, smooth-ride, and harshness with respect to the competitors. - Objective testing by installing accelerometers to the critical parts to check the inputs reaching the passenger cabin also checking the force generated using strain gauging. - Job profile also involved a lot of practical work related to car parts changing, toe setting and checking parameters such as toe and camber using the wheel alignment machine.

Thesis topic: Trajectory Prediction in Realistic Traffic Scenarios using Transformer-based Model with Attention to Semantic Maps. Note: 1.7