Projects

Research

Guided Diffusion based Generative model

• A study project to design a Guided Diffusion Model that generates adversarial scenarios to predict violations in an autonomous driving system
• Synthesized a dataset using Carla with benchmark architectures like: Transfuser, Interfuser, Transfuser++, LMDrive for safe and adversarial scenarios
• Trained the designed Diffusion Model architecture, to create new adverserial scenarios and validate over the existing models

Deep Neural Network

• A foundational ML project to develop a deep neural network model to identify and track a target in simulation
• Trained multiple model architectures from scratch and analyzed the comparative performance on the image dataset
• More details of the project: Deep Neural Network

Industry

3D Perception and Localization

• Developed the Perception algorithm using Lidar, Radar, Camera system involving Object clustering and Classification on the 3D point cloud data
• Utilized State estimation and Data association techniques to build a robust Target Tracking system
• More details of the project: 3D Perception and Localization

Perception System with Occupancy Grid Mapping

• Developed and deployed an Occupancy Grid Map using Front & Rear Lidar, Side Radar for vehicle parking solution
• More details of the project: Occupancy Grid Mapping

Path Planning and Controls

• Developed a path planning and motion control system using fuzzy based control, for parallel parking solution
• More details of the project: Path Planning and Controls

Path Prediction and Motion Planning

• Developed a path prediction model to estimate collision between pedestrian and vehicle
• Built robust and safe controllers based on the estimated trajectory
• More details of the project: Path Prediction and Motion Planning