Intelligent Image Recognition & Segmentation System for Autonomous Vehicles

Obstacle Detection Software for Autonomous Vehicles

In autonomous vehicles, detecting environmental obstacles is one of the most critical tasks for machine vision and decision-making systems. This software leverages advanced image processing and deep learning algorithms to accurately detect both static and moving obstacles, enabling vehicles to navigate safely and intelligently in complex environments.

Features

Detection of static obstacles (walls, signs, curbs) and dynamic obstacles (pedestrians, vehicles, bicycles)

Real-time performance using camera and LiDAR/RADAR sensors

Ability to detect obstacle distance and movement direction

Instant alerts with stop or reroute commands in dangerous conditions

Deployable in experimental or commercial vehicles with standard autonomous hardware

Utilization of deep learning models for enhanced detection accuracy