Autonomous driver assistance systems are standard in vehicles. These systems help the driver to prevent an accident by automatically applying brakes on the vehicle. They assist the driver and help to prevent injuries and casualties caused by traffic accidents yearly. This report shows data about how a vehicles Autonomous Emergency Braking (AEB) system reacts to a road surface with lower friction, for example in winter conditions. To help with the test was a steering robot (SR60 Orbit) and a pedal robot (CBAR 500) used to make the accuracy higher. The target that was used during tests was a Global Vehicle target (GVT). The tests were performed at ArcticFalls proving ground outside Älvsbyn on both asphalt and snow. The tests show a noticeable difference between the distance it takes the car to stop on asphalt and snow. It emerges from the tests that systems like AEB can’t handle low friction, which is a huge risk for an accident. To prevent the risk of a collision is systems that can measure friction a priority.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ltu-84622 |
| Date | January 2021 |
| Creators | Berg, Oscar |
| Publisher | Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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