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Car Collision Avoidance System (Project)

In cooperation with State Research Institute of Aviation Systems (Moscow), RC Module has started a new project - Car Collision Avoidance System (CCAS).

The CCAS is a binocular intelligent video sensor that is mounted on a car and performs front monitoring of the road and vehicular traffic. It is based on methods of stereophotogrammetry, digital image processing and Kalman filtration.A prototype of CCAS was designed and tested on the highway in real condition

Capabilities:

  • Detection and tracking of lane markings
  • Road surface 3D reconstruction
  • Extrapolation of a lane in the absence of markings
  • Detection and tracking of multiple vehicles frontward
  • Distance, position, relative velocity and size of obstacles are estimated

Specification:

  • CCD stereo vision system, high sensitivity in near IR
  • Real time image processor up to 2 billion op/sec
  • PC compatible central processing unit (CPU)
  • On-board raster display
  • Easy manipulated control panel
  • Audio warning subsystem
  • RS-232 communication interface
  • C++ portable program

Features:

Field of view 20 degree (each camera)
Detection distance up to 100 m
Type of detected obstacles Car, truck, bike, pedestrian
Processing speed 10-30 fps (asynchronous)
Driver`s interface Visual: raster, vector and symbolic information on display Audio: voice and sound notification
System interface RS-232 for connection to car on-board systems

Documentation

Hardware
Car Collision Avoidance System Information Sheet PDF, 296 Kb

Surveillance - system mpg-demo

Approaching obstacle MPG, 2.2 MB
Outcoming obstacle MPG, 1.0 MB
Cut in MPG, 1.7 MB
Bad weather MPG, 2.3 MB

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