University of Twente Student Theses
Forward collision warning system with visual distraction detection in bikes
Govindaraj, Visshnu (2021) Forward collision warning system with visual distraction detection in bikes.
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| Abstract: | The recent development in urbanization has led to a persistent increase in road traffic volume and traffic accidents. Bicycles and e-bikes are highly recommended due to the pollution generated by high-end automobiles, and they are also cost-effective, environmentally friendly, and have health advantages. The increase in traffic volume and accidents has fuelled the research on Forward collision warning (FCW) systems in automobiles for proper safety of the driver. Forward collision occurs more frequently which leads to fatality on both sides. However, adapting the FCW systems in high-end automobiles to bicycles has limitations due to complexity, cost, and size. In this master thesis, a multi-sensor integrated forward collision warning (FCW) system with visual distraction detection is developed. The system uses mmWave radar module for detecting the vehicle in the front and a camera module to estimate the head pose of the rider. The Time To Collision (TTC) and Minimum Safe Distance (MSD) metrics are then used to assess the threat and alert the rider. The threshold of the (TTC) is varied based on the alertness of the rider. This method shows good performance with an accuracy of 96.7% in shared road scenarios. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 01 general works, 54 computer science, 55 traffic technology, transport technology |
| Programme: | Embedded Systems MSc (60331) |
| Link to this item: | https://purl.utwente.nl/essays/89217 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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