Cyclist collision avoidance using imagery sensor
Collision avoidance within active safety has so far mainly focused on vehicle-to-vehicle and vehicle-to-pedestrians. Bicyclist accidents are getting more attention and with the introduction of the EU-NCAP protocol 2018 starting to be more addressed. Some of challenges with avoiding cyclist accidents are their mobility (like pedestrians they can change direction quickly compared to vehicles and take, for the driver, unexpected paths) and higher speed compared to pedestrians. Especially cyclists turning are difficult to predict by state-of-the-art systems. This project aims to improve the existing technology for detecting, tracking and predicting cyclists using an imagery sensor mounted on a vehicle and demonstrate this improved development.
- Record URL:
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Corporate Authors:
Fordonsstrategisk Forskning och Innovation (FFI)
, Sweden -
Authors:
- Aderum, Tobias
- Felsberg, Michael
- Thorslund, Birgitta
- Eldesokey, Abdelrahman
- Thalya, Prateek
- Asketun, Jan
- Johnander, Joakim
- Publication Date: 2019
Language
- English
Media Info
- Pagination: 17p
Subject/Index Terms
- TRT Terms: Automatic braking; Bicycles; Braking performance; Crash avoidance systems; Cyclists; Detection and identification; Image processing; Mathematical models; Sensors; Test tracks
- ITRD Terms: 6473: Algorithm; 1432: Autonomous emergency braking; 1211: Bicycle; 1695: Braking distance; 1441: Collision avoidance system; 1742: Cyclist; 9115: Detection; 6473: Equation; 6473: Formula (math); 8633: Image processing; 6120: Sensor; 1695: Stopping distance; 2789: Test track
- Subject Areas: Pedestrians and Bicyclists; I91: Vehicle Design and Safety;
Filing Info
- Accession Number: 01790117
- Record Type: Publication
- Source Agency: Swedish National Road and Transport Research Institute (VTI)
- Files: ITRD, VTI
- Created Date: Dec 1 2021 2:48PM