IMPLEMENTATION OF CONVOLUTIONAL NEURAL NETWORK FOR PEDESTRIAN DETECTION IN AUTONOMOUS VEHICLE SYSTEM
Pedestrian detection is one of the many tasks that must be completed by the autonomous vehicle system. Nowadays, the use of convolutional neural networks (CNN) greatly affects object detection performance. You Only Look Once object detector (YOLO) is one of the object detector that can detect obj...
Saved in:
Main Author: | Naufhal Dhiaegana, Renjira |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/49926 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Vehicle-pedestrian classification with road context recognition using convolutional neural networks
by: Billones, Robert Kerwin C., et al.
Published: (2019) -
TRAFFIC SIGN DETECTION USING CONVOLUTIONAL NEURAL NETOWORK ON AUTONOMOUS VEHICLE SYSTEM
by: Fijar Mayoza, Rabbi -
Pedestrian detection using fast region-based convolutional neural network method
by: Wang, Xiaoxu
Published: (2019) -
Pedestrian-motorcycle binary classification using data augmentation and convolutional neural networks
by: Billones, Robert Kerwin C., et al.
Published: (2019) -
Convolutional neural network for vehicle detection in low resolution traffic videos
by: Bautista, Carlo Migel, et al.
Published: (2016)