Finally, by using the adaptive threshold-based segmentation technique, the buildings are segmented and the road network is extracted based on supervised directional homogeneity. Finally, we evaluate our system on a large-scale road and building detection data sets that are publicly available....
In this chapter, we briefly review the literature on building and road detection. We group previous studies as follows: building detection (alone), road detection (alone), and combined building and road detection. The last group of studies exploits the mutual information between buildings and road...
Bradbury, Kyle; Brigman, Benjamin; Collins, Leslie; Johnson, Timothy; Lin, Sebastian; Newell, Richard; et al. (2016). Aerial imagery object identification dataset for building and road detection, and building height estimation. figshare. Collection. https://doi....
We estimate the influence of filter stride, learning rate, input data size, training epoch and fine-tuning on model performance. Selected Massachusetts road and building datasets are used for training, validation, and testing the performance of the models with different parameters. As a result of ...
Road manhole covers are crucial components of urban infrastructure; however, inadequate maintenance or poor marking can pose safety risks to vehicular traffic. This paper presents a method for detecting road manhole covers using a stereo depth camera and
Our method has been tested on four remote sensing image datasets and has achieved excellent IoU scores on all datasets (Massachusetts Building and Roads Dataset: 76.69% and 66.41%, LRSNY and CHN6-CUG Roads Dataset: 88.96% and 61.99%). Furthermore, our method demonstrates superior performance ...
A method of multifeature fusion is presented to obtain the pedestrian target area, and the pedestrian detection results on the road are accurately segmented by combining the disparity neighbor similarity and the minimum energy algorithm. The algorithm is tested in three datasets of Enpeda, KITTI, ...
The best product roadmap software vendors use the latest encryption technology to safeguard the data. They also have intrusion detection and disaster prevention strategies to protect the data against all types of hazards. Enterprises can rest assured that the data entered in the product roadmap tool...
In recent years, advances in deep learning techniques have held promise for automated crack detection, but challenges, such as low contrast, small datasets, and inaccurate localization, remain. In this paper, we propose a deep learning-based pixel-level road crack segmentation network that achieves...
Pre-training is a very long and costly process, which is why this is not the focus of this course. It's good to have some level of understanding of what happens during pre-training, but hands-on experience is not required. Data pipeline: Pre-training requires huge datasets (e.g., Llam...