Abstract - One of the important meanings for human life is road. The road used as a means transportation which has very useful planning in development life. In 2018, based on statistical data, number motor vehicle users Indonesia increasing every year, reaching 146,858,759 units. Seeing enhancement users, impact occured. Many roads are damaged and conditions unsettling concerned users. most com...

Autonomous road following is a domain which spans a range of complexity from p r l y defmed, unmarked dirt roads to well defined, well marked, highly structured highways. The YARF system (for Yet Another Road Follower) is designed to operate in the middle of this range of complexity, driving on laban streets. Our research program has focused on the use of featureand situation-specific segmentat...

A new idea of an abandoned object detection system for road traffic surveillance systems based on three-dimensional image information is proposed in this paper to prevent traffic accidents. A novel Binocular Information Reconstruction and Recognition (BIRR) algorithm is presented to implement the new idea. As initial detection, suspected abandoned objects are detected by the proposed static for...

In this paper, we proposed a new segmentation-and-grouping framework for road map inference from sparsely-sampled GPS traces. First, we extended DBSCAN with the orientation constraint to partition the whole point set of traces to clusters representing road segments. Second, we proposed an adaptive k-means algorithm that the k value is determined by an angle threshold to reconstruct nearly strai...

A new approach for object extraction from high-resolution satellite images is presented in this paper. The new approach integrates image fusion, multi-spectral classification, feature extraction and feature segmentation into the object extraction of high-resolution satellite images. Both spectral information from multispectral (MS) images and spatial information from panchromatic (Pan) images a...

The Texture Fragmentation and Reconstruction (TFR) algorithm has been recently introduced to address the problem of image segmentation by textural properties, based on a suitable image description tool known as the Hierarchical Multiple Markov Chain (H-MMC) model. TFR provides a hierarchical set of nested segmentation maps by first identifying the elementary image patterns, and then merging the...

We present a fast method for road network extraction in satellite images. It can be seen as a transposition of the segmentation scheme “watershed transform + region adjacency graph + Markov random fields” to the extraction of curvilinear objects. Many road extractors which are composed of two stages can be found in the literature. The first one acts like a filter that can decide from a local an...

We first describe how to “fuzzify” the estimated binary columns to create a [0,1]-valued column. Werefer to this [0,1] -valued column as the soft segmentation column of the noisy spectrogram column.Similarly to the collection of soft segmentation columns as the soft segmentation image, or simply asthe soft segmentation. The band-dependent posterior probability that the hard segmentation columnv...

Visibility distance on the road pathway plays a significant role in road safety and in particular, has a clear impact on the choice of speed limits. Visibility distance is thus of importance for road engineers and authorities. While visibility distance criteria are routinely taken into account in road design, only a few systems exist for estimating it on existing road networks. Most existing sy...

As one of the most important components urban space, an outdated inventory road-side trees may misguide managers in assessment and upgrade environments, potentially affecting road quality. Therefore, automatic accurate instance segmentation from point clouds is task ecology research. However, previous works show under- or over-segmentation effects for due to overlapping, irregular shapes incomp...