CWAS: A Hybrid Solution for Collision Warning and Avoidance
| Autor: | Milad Ghantous, Wael Nasserddine, Marc Anthony Mannah, Mohammad Eshker |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Signal processing Hardware modules business.industry 010401 analytical chemistry 05 social sciences Collision 01 natural sciences 0104 chemical sciences Detect and avoid Installation Server Embedded system Hybrid solution 0501 psychology and cognitive sciences Mobile telephony business 050107 human factors |
| Zdroj: | 2017 International Conference on Computer and Applications (ICCA). |
| Popis: | Driving assistance is becoming an increasingly important matter nowadays, due to the advancements in technology in fields of communication and signal processing. Helping the driver detect and avoid incoming hazards while driving can save lives and decrease road fatalities. For that purpose, this paper describes a hybrid solution based on hardware modules that can be installed on curvy and/or mountainous roads, and on a mobile app. Any driver, with any vehicle model, can become a part of the proposed system by installing and using the app without the need to purchase any additional hardware. Drivers get real time voice warnings on their mobile phones about incoming hazards and vehicle speeds. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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