OBJECT DETECTION IN INDONESIAN MIXED TRAFFIC FOR AUTONOMOUS VEHICLES BASED ON YOLOV5 ALGORITHM
Object detection speed and accuracy are critical aspects of the perception system in autonomous vehicles. Speed improvement helps the object detector model achieve performance close to real-time, while accuracy enhancement ensures robust detection across various scenes. Balancing these improvemen...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/85207 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |