DESIGN & IMPLEMENTATION OF YOLOV4-BASED OBJECT RECOGNITION ON THE EMBEDDED SYSTEM AND GRAPHICAL USER INTERFACE IN THE TRAFFIC SIGN RECOGNITION SYSTEM FOR AUTONOMOUS TRAM
One alternative to electric-powered public transportation that can be used by residents and implemented by the government as a safe and environmentally friendly mode of transportation in the city is the tram. Trams in developed countries have proven to be effective in reducing congestion problems...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/67895 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | One alternative to electric-powered public transportation that can be used by
residents and implemented by the government as a safe and environmentally
friendly mode of transportation in the city is the tram. Trams in developed countries
have proven to be effective in reducing congestion problems and increasing the
effectiveness of mobility within cities. PT. INKA is collaborating with Research.ai
and the Bandung Institute of Technology to develop autonomous trams which will
later be operated in major cities in Indonesia. In this collaboration, PT. INKA
oversees developing the tram that will be used and Research.ai and ITB oversee
developing an autonomous system from the tram. One of the obstacles faced in the
operation of autonomous trams that do not have drivers in the future is how to
operate autonomous trams in accordance with existing regulations and in
accordance with good operating conditions. One way to make sure the tram can
work properly is to follow the traffic signs, especially for trains.
Based on the description above, a traffic sign recognition system based on artificial
intelligence is proposed in the form of a Traffic Sign Recognition System. The
introduction of this sign will be implemented on an autonomous system of trams
using an embedded NVIDIA based system, namely NVIDIA Drive AGX Pegasus.
So, it is necessary to process the artificial intelligence model to be able to work well
on the embedded system. In addition, the recognition results from the Traffic Sign
Recognition system will also be displayed on a part of the entire autonomous tram
interface (GUI) that will be used by the tram driver or operator. |
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