Design Study of the Low-Cost Advance Rider Assistance System
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F22%3A43966852" target="_blank" >RIV/49777513:23210/22:43966852 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/chapter/10.1007/978-3-031-15211-5_22" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-15211-5_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-15211-5_22" target="_blank" >10.1007/978-3-031-15211-5_22</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Design Study of the Low-Cost Advance Rider Assistance System
Popis výsledku v původním jazyce
This work describes the design and implementation of a low-costAdvanced Rider’s Assistant System (ARAS). Motorcycle riders are more prone toAQ1 the injury during an accident than passengers of the car. For riders those accidentsoften end up tragically and additionally, there is a higher chance that rider will beinvolved in the accident than the passenger of a car. Therefore, there is a need fordevices that can increase the passive and active safety of bikers. Thework describesthe design verification and implementation of a simple and affordable assistancesystem with traffic sign recognition, pedestrian recognition and proximity alertfunction. Device contains sensory unit equipped with a camera for pedestrian andtraffic sign recognition, infrared (IR) rangefinder for proximity measurement anda combination of Global Position System (GPS) sensor and InertialMeasurementUnit (IMU) for the independent speedmeasurement of the motorcycle. Displayingunit contains Head-Up Display (HUD) and is placed on the helmet. Methodologypart describes considered scenarios which could be prevented and possiblesolutions. In addition to the mentioned functions, the possibility of future extensionwith smart infrastructure communication functions like Vehicle-To-Vehicle(V2V) and Vehicle-To-Infrastructure (V2I) is taken into account. Based on theseconsiderations, a suitable mechanical solution and used hardware was selected.Design study describes mechanical and mechatronic design and is supplementedby analyses. Implementation part describes software solution (both of sensoryand displaying unit) and prototype manufacturing using 3D printing. Test partdescribes conducted tests and their results, with special emphasis on proximityalert response rate and capability of vision system using cascade classifier. Severalfurther improvements (features which are currently under development, such asnight vision, improved scene recognition, people on wheelchairs recognition, etc.)are described at the end of the article. Conclusion involves further work and newideas that came up during the process.
Název v anglickém jazyce
Design Study of the Low-Cost Advance Rider Assistance System
Popis výsledku anglicky
This work describes the design and implementation of a low-costAdvanced Rider’s Assistant System (ARAS). Motorcycle riders are more prone toAQ1 the injury during an accident than passengers of the car. For riders those accidentsoften end up tragically and additionally, there is a higher chance that rider will beinvolved in the accident than the passenger of a car. Therefore, there is a need fordevices that can increase the passive and active safety of bikers. Thework describesthe design verification and implementation of a simple and affordable assistancesystem with traffic sign recognition, pedestrian recognition and proximity alertfunction. Device contains sensory unit equipped with a camera for pedestrian andtraffic sign recognition, infrared (IR) rangefinder for proximity measurement anda combination of Global Position System (GPS) sensor and InertialMeasurementUnit (IMU) for the independent speedmeasurement of the motorcycle. Displayingunit contains Head-Up Display (HUD) and is placed on the helmet. Methodologypart describes considered scenarios which could be prevented and possiblesolutions. In addition to the mentioned functions, the possibility of future extensionwith smart infrastructure communication functions like Vehicle-To-Vehicle(V2V) and Vehicle-To-Infrastructure (V2I) is taken into account. Based on theseconsiderations, a suitable mechanical solution and used hardware was selected.Design study describes mechanical and mechatronic design and is supplementedby analyses. Implementation part describes software solution (both of sensoryand displaying unit) and prototype manufacturing using 3D printing. Test partdescribes conducted tests and their results, with special emphasis on proximityalert response rate and capability of vision system using cascade classifier. Severalfurther improvements (features which are currently under development, such asnight vision, improved scene recognition, people on wheelchairs recognition, etc.)are described at the end of the article. Conclusion involves further work and newideas that came up during the process.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20301 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Vehicle and Automotive Engineering 4
ISBN
978-3-031-15211-5
ISSN
—
e-ISSN
—
Počet stran výsledku
13
Strana od-do
248-260
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Miskolc, Maďarsko
Datum konání akce
8. 9. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—