Autonomous Ground Vehicles

A flagship multidisciplinary research track exploring advanced autonomous navigation across customized robotic platforms.

Official Project Demonstration: Multi-Vehicle Coordination & Testing

4-Wheeler Automation

Phase I: 4-Wheeler Automation

The 4-Wheeler track focuses on large-scale urban mobility. By integrating high-precision LIDAR and Computer Vision, the vehicle builds real-time 3D maps of its surroundings and plans optimal paths forward.

  • Advanced obstacle detection and avoidance system
  • Precise navigation using LIDAR and Computer Vision
  • Real-time traffic analysis and route optimization
  • Emergency braking and collision prevention
  • Intelligent speed adaptation systems
2-Wheeler Dynamics

Phase II: Self-Balancing Dynamics

Exploring the complex physics of single-track vehicles. This project utilizes high-speed IMU sensor fusion and PID control loops to maintain vertical stability while navigating autonomously.

  • Self-balancing technology using IMU stabilization
  • Dynamic steering for center-of-gravity compensation
  • Smart route planning and precision navigation
  • Compact, lightweight, and battery-efficient design
  • Smartphone application for telemetry and control
ML-Integrated Rescue Car

Phase III: AI Search & Rescue

Our most advanced robotics project, designed for disaster response. The ML-Integrated Rescue Car utilizes Edge AI for real-time human detection and thermal tracking in hazardous environments.

  • TensorFlow Lite for Real-time Victim Detection
  • ROS-based Environmental SLAM & Mapping
  • Hazardous Terrain Traversal Capabilities
  • LoRa-Frequency Telemetry for remote operations
  • Multispectral human and heat-signature tracking

Unified AGV Tech Stack

NVIDIA Jetson

Edge AI Processing

ROS 2 Foxy

Robot Middleware

LiDAR / IMU

Sensor Fusion

OpenCV / TFLite

Computer Vision

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