Driver assistance with stereo vision sensing system

A new stereo vision sensing (SVS) system developed by automotive safety systems supplier Autoliv will, says the company, help vehicle manufacturers meet the new test criteria that EuroNCAP recently announced to promote autonomous emergency braking, intelligent speed assist, lane departure assists and pedestrian protection. The system has a field of view of 50 degrees and can recognise objects within 120 metres. To provide the best view, the stereo vision cameras are mounted high on the front windshield behi
May 14, 2013 Read time: 2 mins
A new stereo vision sensing (SVS) system developed by automotive safety systems supplier 4171 Autoliv will, says the company, help vehicle manufacturers meet the new test criteria that EuroNCAP recently announced to promote autonomous emergency braking, intelligent speed assist, lane departure assists and pedestrian protection.

The system has a field of view of 50 degrees and can recognise objects within 120 metres. To provide the best view, the stereo vision cameras are mounted high on the front windshield behind the rear view mirror.

Autoliv’s new system will provide autonomous emergency braking, intelligent speed assist, road/lane departure warning and pedestrian protection, which is proposed to be included in EurNCAP’s star rating of new vehicles from 2017.   The system can also provide adaptive cruise control, queue assist, light source recognition to automatically control the headlights to avoid blinding oncoming traffic and road surface monitoring to automatically adjust the suspension ahead of uneven road surfaces.

The SVS also provides four additional applications. By adding another camera in tandem with the first, the system can provide a three dimensional view of the area in front of a vehicle, enabling the system to calculate the distance to different objects in front of the vehicle and determine the shape and the size of them. The system will calculate the direction and speed of objects moving closer to the vehicle and is able to predict if, for example, a pedestrian is at risk and warn the driver or brake the car.
Location Based Systems

For more information on companies in this article

Related Content

  • Truck platooning trials take to the highways
    July 24, 2017
    There is rising enthusiasm in America and beyond for the concept of truck platooning with trials being planned in several US states, as David Crawford reports. Growing numbers of US states are considering or implementing plans for trials of electronically-linked truck platooning on public road networks. This is in response to the interest being shown by the US$70bn a year road freight industry, where fuel represents 41% of the operating costs making the prospect of improving fuel economy by trucks travellin
    Read More
  • The downside of driverless vehicles
    October 27, 2016
    Driverless cars will have a detrimental effect on congestion and security while the road safety benefits can be achieved sooner and cheaper using ADAS, argues Colin Sowman. Many Governments are consulting about the introduction of driverless vehicles and even running trials. As 70% or 80% of crashes are caused by human error, the promise of a crash-free future of driverless, self-driving or autonomous vehicles (call them what you will) is alluring, as are the claims of reduced congestion and lower emissions
    Read More
  • Hong Kong's integrated traffic management system
    May 22, 2012
    Hong Kong’s Route 8 now features an extensive and advanced traffic control and surveillance system developed to overcome challenges of great scale and complexity, write Delcan vice president Rex Lee and MD Joseph Lam
    Read More
  • Preventing connected vehicles creating disconnected drivers
    November 12, 2015
    Advanced driver assistance systems (ADAS) are evolving at a rapid pace – but drivers’ ability to cope with them is not and at some point the mismatch must be addressed. Probably the biggest challenge the transportation industry has ever faced.” That is how Dr Bryan Reimer of Massachusetts Institute of Technology AgeLab describes the challenges posed by semi-autonomous vehicles.
    Read More

Highlighted Content