Results 71 to 80 of about 1,130,670 (289)
Sensors, 2016 Wearable and smartphone technology innovations have propelled the growth of Pedestrian Navigation Services (PNS). PNS need a map-matching process to project a user’s locations onto maps.
Yoonsik Bang, Jiyoung Kim, Kiyun Yu
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Identifying Stops and Moves in WiFi Tracking Data
Sensors, 2018 There are multiple methods for tracking individuals, but the classical ones such as using GPS or video surveillance systems do not scale or have large costs.
Cristian Chilipirea +3 more
doaj +1 more source
Asymmetric Whisker‐Inspired Sensor Pairs for Enhanced Airflow Sensing on Drones
Advanced Intelligent Systems, EarlyView.This work incorporates asymmetric cross‐sections into a whisker‐inspired sensor pair to enhance airflow sensing. By comparing signals between two offset asymmetric whiskers, the system improves flow heading estimation and identifies the presence of fan‐generated wind during quadrotor flight.
Teresa A. Kent +3 more
wiley +1 more source
GPs’ perspectives of the patient encounter – in the context of standardized cancer patient pathways
Scandinavian Journal of Primary Health Care, 2020 Objective: We aim to explore how GPs assign meanings and act upon patients’ symptoms in primary care encounters in the context of standardized cancer patient pathways (CPPs).
Cecilia Hultstrand +3 more
doaj +1 more source
Learning GPS Point Representations to Detect Anomalous Bus Trajectories
IEEE Access, 2020 Discovering anomalous bus trajectories can benefit transportation agencies to improve their services by helping them to deal with unexpected events such as detours or accidents.
Michael Cruz, Luciano Barbosa
doaj +1 more source
Semi-supervised GANs to Infer Travel Modes in GPS Trajectories [PDF]
Journal of Big Data Analytics in Transportation, 2019 This study experiments with the use of adversarial networks to classify travel mode based on one-dimensional smartphone trajectory data. We use data from a large-scale smartphone travel survey in Montreal, Canada.
A. Yazdizadeh +2 more
semanticscholar +1 more source
Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI
AI &Innovation, EarlyView.This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley +1 more source
Trajectory-Based Road-Geometry and Crash-Risk Estimation with Smartphone-Assisted Sensor Networks
International Journal of Distributed Sensor Networks, 2014 As mobile devices came into wide use, it became practical to collect travel data in personal logs. Many studies have been conducted to extract meaningful information from this trend.
Dongwook Lee, Ilmin Kim, Minsoo Hahn
doaj +1 more source
Map Matching for Fixed Sensor Data Based on Utility Theory
Journal of Advanced Transportation, 2021 Map matching can provide useful traffic information by aligning the observed trajectories of vehicles with the road network on a digital map. It has an essential role in many advanced intelligent traffic systems (ITSs).
Kangkang He +4 more
doaj +1 more source