Pothole Classification Using DenseNet Model: An Empirical Analysis with CNN and InceptionResNetV2
Road conditions have a big impact on the effectiveness and safety of road transport.
Potholes, cracks, and bumps in the road may impact driving behaviors and increase the risk …
Potholes, cracks, and bumps in the road may impact driving behaviors and increase the risk …
An Empirical Analysis with CNN
Road conditions have a big impact on the effectiveness and safety of road transport.
Potholes, cracks, and bumps in the road may impact driving behaviors and increase the risk …
Potholes, cracks, and bumps in the road may impact driving behaviors and increase the risk …
Road Safety Monitoring using deep learning and Unmanned Aerial Vehicle
SK Jha, R Srivastava, C Behuria… - … on Cognitive, Green …, 2024 - ieeexplore.ieee.org
This paper presents a novel system utilizing Un-manned Aerial Vehicles (UAVs) for real-time
object detection and road safety monitoring. The proposed system leverages deep learning …
object detection and road safety monitoring. The proposed system leverages deep learning …