We have developed an adaptive real-time road detection application based on neural networks for autonomous driving. By taking advantage of the unique structure in road images, the network training can be processed while the system is running. The algorithm employs color features derived from color histograms. We have focused on the automatic adaptation of the system, which has reduced manual road annotations by human.
Adaptive real-time road detection using neural networks
2004-01-01
528884 byte
Conference paper
Electronic Resource
English
ArXiv | 2024
|Real-Time Plume Detection and Segmentation Using Neural Networks
Springer Verlag | 2020
|Real-Time Road Damage Detection Using YOLOv8
ASCE | 2025
|Towards Real-Time Drone Detection Using Deep Neural Networks
Springer Verlag | 2021
|Real-time Adaptive Control of Electric Vehicle Drives using Artificial Neural Networks
DOAJ | 2024
|