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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 ...
PCAM systems are often part of a pre-collision system available in several high end car manufacturers, such as Volvo and Mercedes and Lexus, [2] and used less widely in lower end cars such as Ford and Nissan. [3] As of 2018 using 2016 data, more than 6,000 pedestrians and 800 cyclists are killed every year in the US in car crashes.
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.
The warning is followed by light braking to get the driver's attention. The third phase initiates autonomous partial braking at a rate of 3 m/s 2 (9.8 ft/s 2). The fourth phase increases braking to 5 m/s 2 (16.4 ft/s 2) followed by automatic full braking power, roughly half a second before projected impact. "Pre sense rear", is designed to ...
The pedestrian detection feature alerted the driver with an audio warning and visually enclosed the pedestrian in a box on the display which was presented via head-up display. [33] [34] The night vision system uses a separate heads up type display projected on the center bottom of the windshield. The infrared cameras do not require a light ...
[2] In the United States, a pedestrian is injured by a motor vehicle every 8 minutes, and are 1.5 times more likely than a vehicle's occupants to be killed in a motor vehicle crash per outing. [3] Improvements in roadway and motor vehicle designs have steadily reduced injury and death rates in all first world countries. Nevertheless, auto ...
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.