Aerospace-Engineering

DIAT

Department of Aerospace Engineering and Autonomous Systems

drdo-logo

Robotics Laboratories

Underwater Vision-Based Surveillance & Tracking

  • Real-time underwater Data collection
  • Image enhancement processing(Filtering, contrast correction)
  • AI-based object detection 
  • Multi-object tracking across video frames
  • Modular API design for enhancement, detection, and tracking modules
  • Backend processing pipeline for real-time vision analysis

Self-Driving Car Research Studio

  • Self-driving car Hardware is the scaled-down model of the real car.
  • Equipped with multiple sensing modules such as stereo/RGBD cameras, LiDAR, IMU, wheel encoders etc. for environment perception.
  • Supports surround-view sensing and real-time obstacle detection.
  • Integrated with high-performance embedded computing units such as NVIDIA Jetson Xavier for AI inference and rapid processing.
  • Enables implementation of autonomous driving functions, including lane detection, localization, SLAM, path planning, and autonomous navigation.
  • Compatible with MATLAB/Simulink, ROS, Python, and deep learning frameworks for rapid prototyping.
  • Supports hardware-in-the-loop (HIL) and digital twin based autonomous vehicle simulations.

Night UAV System

  • Dual-Modal Vision System (RGB + IR Integration)
  • Real-Time Video Streaming with Ground Control Interface
  • Autonomous and Manual Flight Control System
  • Aerial Data Acquisition for AI Model Development
  • Intelligent Surveillance and Infrastructure Inspection Capability
Scroll to Top