Results 31 to 40 of about 6,998 (182)
Road Extraction by Deep Residual U-Net
, 2017 Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis. In this letter, a semantic segmentation neural network which combines the strengths of residual learning and U-Net is proposed for road area ...
Liu, Qingjie +2 more
core +1 more source
Incremental data acquisition from gps-traces [PDF]
, 2011 GPS traces can track actual time and coordinates of regular vehicles going their own business, and it is easy to scale to the entire area with an accuracy of 6 to 10 meters in normal condition. As a result, extracting road map from GPS traces could be an
Sester, Monika, Zhang, L.
core +3 more sources
Lane-Level Road Map Construction considering Vehicle Lane-Changing Behavior
Journal of Advanced Transportation, 2022 In recent years, the construction of lane-level road maps has received extensive attention from industry and academia. It has been widely studied because this kind of map provides the foundation for much research, such as high-precision navigation ...
Liang Fan +4 more
doaj +1 more source
Use of GMM and SCMS for Accurate Road Centerline Extraction from the Classified Image [PDF]
Journal of Sensors, 2015 The extraction of road centerline from the classified image is a fundamental image analysis technology. Common problems encountered in road centerline extraction include low ability for coping with the general case, production of undesired objects, and inefficiency. To tackle these limitations, this paper presents a novel accurate centerline extraction
Zelang Miao +4 more
openaire +2 more sources
AUTOMATIC EXTRACTION OF ROAD CENTERLINES AND EDGE LINES FROM AERIAL IMAGES VIA CNN-BASED REGRESSION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Abstract. Extracting roads from aerial images is a challenging task in the field of remote sensing. Most approaches formulate road extraction as a segmentation problem and use thinning and edge detection to obtain road centerlines and edge lines, which could produce spurs around the extracted centerlines/edge lines.
Y. Wei, X. Hu, M. Zhang, Y. Xu
openaire +3 more sources
, 2020 The brine shrimp Artemia, a small crustacean zooplankton organism, is universally used as live prey for larval fish and shrimps in aquaculture. In Artemia studies, it would be highly desired to have access to automated techniques to obtain the length ...
De Baets, Bernard +2 more
core +1 more source
Model-based estimation of off-highway road geometry using single-axis LADAR and inertial sensing [PDF]
, 2006 This paper applies some previously studied extended Kalman filter techniques for planar road geometry estimation to the domain of autonomous navigation of off-highway vehicles.
Cremean, Lars B., Murray, Richard M.
core
Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning
, 2017 In robotic surgery, task automation and learning from demonstration combined with human supervision is an emerging trend for many new surgical robot platforms.
Gu, Yun +3 more
core +1 more source
Advanced Materials Technologies, EarlyView.An in situ electroplating approach for MEX 3D printing is proposed, enabling copper deposition during the fabrication of conductive polymers. The method combines a printer‐integrated plating head, ML‐based g‐code control, and stop‐and‐go printing, achieving near‐bulk copper conductivity and enabling fully embedded, assembly‐free electronic components ...
Gianluca Percoco +5 more
wiley +1 more source
Topology-Aware Road Network Extraction via Multi-Supervised Generative Adversarial Networks
Remote Sensing, 2019 Road network extraction from remote sensing images has played an important role in various areas. However, due to complex imaging conditions and terrain factors, such as occlusion and shades, it is very challenging to extract road networks with complete ...
Yang Zhang +5 more
doaj +1 more source