OBJECT DETECTION WITH CAMERA FOR SEMI-AUTOMATIC BATTERY TRAM STEERING ON TRAFFIC IN INDONESIA
Where at this time the development of Autonomous Vehicles in Indonesia began to develop starting with the presence of automatic cars, Autopilot on planes, and so on. So at this time PT Indonesia Kereta Api (PT INKA) is developing an Autonomous Tram. As is known, the basic component for an Autonom...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/61804 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Where at this time the development of Autonomous Vehicles in Indonesia began to
develop starting with the presence of automatic cars, Autopilot on planes, and so
on. So at this time PT Indonesia Kereta Api (PT INKA) is developing an
Autonomous Tram. As is known, the basic component for an Autonomous Tram to
work is to have an object detection camera to view the results in 2D and combine
it with LiDAR. The dataset used is also a local dataset from PI Inka which has
been annotated. So as to produce a 3D bounding box with class and distance to
the source with very good accuracy. After knowing the surroundings, it is included
in the decision making. After going through the decision making process,
predictions for the tram are generated. The results of this Autonomous Tram can
produce a tram that can help the driver to drive. The existence of an Autonomous
Tram can reduce congestion, accidents due to driver errors and air emissions,
because it uses electricity as a power source. In this section the author only
performs 1 subsystem, namely Object Detection using YoloV5
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