Results 101 to 110 of about 6,663 (300)
Step Characterization using Sensor Information Fusion and Machine Learning
A pedestrian inertial navigation system is typically used to suppress the Global Navigation Satellite System limitation to track persons in indoor or in dense environments.
Ricardo Anacleto +4 more
doaj +1 more source
When the River Runs Low: Heterogeneous Impacts of Transportation Disruptions on Local Grain Basis
ABSTRACT A substantial share of U.S. soybean and corn exports from the Midwest moves by barge along the Mississippi River system to export terminals in the Louisiana Gulf. Transportation costs between Midwestern grain elevators and export terminals create a wedge between prices at these locations, and shocks to these costs are partially passed on to ...
Yuan Zhang +3 more
wiley +1 more source
A new pedestrian navigation algorithm based on the stochastic cloning technique for kalman filtering [PDF]
S.662-669In this paper we present a pedestrian navigation algorithm based on a Kalman filter that exploits relative position measurements provided by a step detection algorithm.
Kleinert, Markus +4 more
core
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
Evolving direct perception models of human behavior in building systems [PDF]
Software agents that use direct (or active) perception of the environment have recently been shown to correspond well with pedestrian movement within building and urban systems.
Penn, A, Turner, A
core
Location-Based Services (LBS) have become integral to contemporary urban life, with Global Navigation Satellite System (GNSS) modules in smart devices serving as the primary geospatial data source.
Jingxian Wang +5 more
doaj +1 more source
A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti +6 more
wiley +1 more source
Human motion prediction for navigation of a mobile robot [PDF]
Human motion prediction is an important feature to improve the path planning of mobile robots. An exact prediction of the pedestrian trajectory allows not only to avoid them safely but to induce also socially acceptable motions.
Schmiedhofer , Klaus
core
Data Fusion of Dual Foot-Mounted INS Based on Human Step Length Model
Pedestrian navigation methods based on inertial sensors are commonly used to solve navigation and positioning problems when satellite signals are unavailable.
Jianqiang Chen, Gang Liu, Meifeng Guo
doaj +1 more source
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad +5 more
wiley +1 more source

