Advanced Driver Assistant Systems (ADAS) Implementation

ADAS is used by in-vehicle systems to help the driver in their driving process. Designed with a safe Human-Machine Interface it should increase vehicle safety and more generally road safety and save fuel. It can be used as a driving aid with real-time feed back to the driver using an HPI interface and also for driver training. The data and the driver’s responses can be a useful tool in assistance fleet managers in calculating risk and driver league indexing.


So called map based applications enable vehicles to ‘see’ beyond the horizon through the use of web-enabled mobile phone applications. By integrating with speed control systems fuel costs have been reduced by and average of 15%.

The key features include:

Navteq or OS electronic horizon with
both on-board and off-board memory
with over air map tile updates called by GPS coordinates

Significant reductions in emissions together with substantial fuel savings

ROI is high with minimal incremental
cost of implementation

Examples of such a system are:

  • In-vehicle navigation system with typically GPS for providing up-to-date traffic information
  • Adaptive cruise control (ACC)
  • Slow for sharp curves
  • Control of acceleration on exits
  • Lane departure warning system
  • Lane change assistance
  • Collision avoidance system (Pre-crash system)
  • Intelligent speed adaptation (ISA)
  • Night Vision
  • Adaptive light control
  • Pedestrian protection system
  • Automatic parking
  • Traffic sign recognition
  • Blind spot detection
  • Driver drowsiness detection
  • Vehicular communication systems
  • Hill descent control
  • Electric vehicle warning sounds used in hybrids and plug-in electric vehicles
  • Hydrogen demand
  • Air conditioning demand on stop start technology