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If a match is made and confirmed, the other systems in the PCAM are invoked. [5] [6] PCAM technologies can be improved with additional information from connected vehicles. [7] A thorough description of the processes for pedestrian detection in about 2010 is provided in . AI technologies have improved dramatically since then, as can be seen in ...
City Safety is an auto brake technology developed by Volvo Cars, designed to reduce or avoid traffic accidents.It comes in two generations, with the first operating at speeds up to 30 km/h (19 mph) and the second, functioning at speeds up to 50 km/h (31 mph).
Pedestrian detection is an essential and significant task in any intelligent video surveillance system, as it provides the fundamental information for semantic understanding of the video footages. It has an obvious extension to automotive applications due to the potential for improving safety systems. Many car manufacturers (e.g. Volvo, Ford ...
AEB with pedestrian detection was associated with significant reductions of 25%-27% in pedestrian crash risk and 29%-30% in pedestrian injury crash risk. However, there was not evidence that that the system was effective in dark conditions without street lighting, at speed limits of 50 mph or greater, or while the AEB- equipped vehicle was turning.
2018: Toyota released its updated Toyota Safety Sense 2.0 (TSS 2.0) to include Lane Tracing Assist, Road Sign Assist, and Low Light Pedestrian Detection with Daytime Bicyclist Detection which improves the Pre-Collision System. The first Japanese car model to receive (TSS 2.0) is the executive Crown in its 15th generation.
The Volvo SCC (Safety Concept Car) is a concept vehicle incorporating the rear hatch design from the Volvo P1800ES and the glass hatch from Volvo 480ES. [2] Its safety features included forward collision warning, blind spot monitor and alert, lane departure warning, adaptive cruise control, flashing brake lights during hard braking, and headlights that follow the curvature of the road as the ...
An example algorithm for traffic-sign detection. Modern traffic-sign recognition systems are being developed using convolutional neural networks, mainly driven by the requirements of autonomous vehicles and self-driving cars. In these scenarios, the detection system needs to identify a variety of traffic signs and not just speed limits.
This system is known as "grüne Welle" in German, "vague verte" in French, or "groene golf" in Dutch (English: "green wave"). Such systems were commonly used in urban areas of the United States from the 1940s, but are less common today. In the UK, Slough in Berkshire had part of the A4 experimented on with this. Many US cities set the green ...