Results 81 to 90 of about 839,813 (280)

Lane-level localization system using surround-view cameras adaptive to different driving conditions

open access: yesInternational Journal of Advanced Robotic Systems, 2020
This article presents a lane-level localization system adaptive to different driving conditions, such as occlusions, complicated road structures, and lane-changing maneuvers. The system uses surround-view cameras, other low-cost sensors, and a lane-level
Tianyi Li   +4 more
doaj   +1 more source

Guided Filtering based Pyramidal Stereo Matching for Unrectified Images [PDF]

open access: yes, 2015
Stereo matching deals with recovering quantitative depth information from a set of input images, based on the visual disparity between corresponding points. Generally most of the algorithms assume that the processed images are rectified.
Cockshott, William, Xu, Tianrui
core  

Aggressive prostate cancer is associated with pericyte dysfunction

open access: yesMolecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero   +11 more
wiley   +1 more source

A Scalable Architecture for Real-Time Stream Processing of Spatiotemporal IoT Stream Data—Performance Analysis on the Example of Map Matching

open access: yesISPRS International Journal of Geo-Information, 2018
Scalable real-time processing of large amounts of data has become a research topic of particular importance due to the continuously rising amount of data that is generated by devices equipped with sensing components.
Marius Laska   +3 more
doaj   +1 more source

MAP inference via Block-Coordinate Frank-Wolfe Algorithm

open access: yes, 2019
We present a new proximal bundle method for Maximum-A-Posteriori (MAP) inference in structured energy minimization problems. The method optimizes a Lagrangean relaxation of the original energy minimization problem using a multi plane block-coordinate ...
Kolmogorov, Vladimir, Swoboda, Paul
core   +1 more source

Collaborative Map Matching in Nav2Nav [PDF]

open access: yesProceedings of the 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing, 2011
Although in-car navigation systems are becoming commonplace, cars travelling in urban canyon areas still suffer from poor positional accuracy and limited visibility of GPS satellites due to signal blockage. As a result, map matching accuracy and navigation performance may not reach the required level for many applications.
Hassan Karimi, Monsak Socharoentum
openaire   +1 more source

Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells

open access: yesMolecular Oncology, EarlyView.
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son   +13 more
wiley   +1 more source

Indoor Positioning System Based on Chest-Mounted IMU

open access: yesSensors, 2019
Demand for indoor navigation systems has been rapidly increasing with regard to location-based services. As a cost-effective choice, inertial measurement unit (IMU)-based pedestrian dead reckoning (PDR) systems have been developed for years because they ...
Chuanhua Lu   +4 more
doaj   +1 more source

Estimating Urban Road GPS Environment Friendliness with Bus Trajectories: A City-Scale Approach

open access: yesSensors, 2020
GPS is taken as the most prevalent positioning system in practice. However, in urban areas, as the GPS satellite signal could be blocked by buildings, the GPS positioning is not accurate due to multi-path errors.
Liantao Ma   +6 more
doaj   +1 more source

Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge

open access: yes, 2017
We propose a fully automatic minutiae extractor, called MinutiaeNet, based on deep neural networks with compact feature representation for fast comparison of minutiae sets. Specifically, first a network, called CoarseNet, estimates the minutiae score map
Cao, Kai   +2 more
core   +1 more source

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