Systematic biases in human heading estimation. [PDF]
Heading estimation is vital to everyday navigation and locomotion. Despite extensive behavioral and physiological research on both visual and vestibular heading estimation over more than two decades, the accuracy of heading estimation has not yet been ...
Luigi F Cuturi, Paul R MacNeilage
doaj +6 more sources
Heading Estimation for Pedestrian Dead Reckoning Based on Robust Adaptive Kalman Filtering [PDF]
Pedestrian dead reckoning (PDR) using smart phone-embedded micro-electro-mechanical system (MEMS) sensors plays a key role in ubiquitous localization indoors and outdoors.
Dongjin Wu, Linyuan Xia, Jijun Geng
doaj +4 more sources
Heading Estimation for Indoor Pedestrian Navigation Using a Smartphone in the Pocket [PDF]
Heading estimation is a central problem for indoor pedestrian navigation using the pervasively available smartphone. For smartphones placed in a pocket, one of the most popular device positions, the essential challenges in heading estimation are the ...
Zhi-An Deng +3 more
doaj +4 more sources
Carrying Position Independent User Heading Estimation for Indoor Pedestrian Navigation with Smartphones [PDF]
This paper proposes a novel heading estimation approach for indoor pedestrian navigation using the built-in inertial sensors on a smartphone. Unlike previous approaches constraining the carrying position of a smartphone on the user’s body, our approach ...
Zhi-An Deng +3 more
doaj +4 more sources
Quaternion-Based Unscented Kalman Filter for Accurate Indoor Heading Estimation Using Wearable Multi-Sensor System [PDF]
Inertial navigation based on micro-electromechanical system (MEMS) inertial measurement units (IMUs) has attracted numerous researchers due to its high reliability and independence.
Xuebing Yuan +4 more
doaj +4 more sources
Multisensory visual-vestibular training improves visual heading estimation in younger and older adults [PDF]
Self-motion perception (e.g., when walking/driving) relies on the integration of multiple sensory cues including visual, vestibular, and proprioceptive signals.
Grace A. Gabriel +9 more
doaj +2 more sources
Adaptive Trajectory-Constrained Heading Estimation for Tractor GNSS/SINS Integrated Navigation [PDF]
Accurate heading estimation is crucial for the autonomous navigation of small-to-medium tractors. While dual-antenna GNSS systems offer precision, they face installation and safety challenges.
Shupeng Hu +7 more
doaj +2 more sources
The inertial Navigation Systems/global navigation satellite system (SINS/GNSS) has become a research hotspot in the field of train positioning. However, during a uniform straight-line motion period, the heading misalignment angle of the SINS/GNSS is ...
Wei Chen, Gongliu Yang, Yongqiang Tu
doaj +3 more sources
Enhancing real-time heading estimation for pedestrian navigation via deep learning and smartphone embedded sensors [PDF]
The accurate smartphone-based pedestrian navigation significantly depends on the precise heading estimation. However, heading estimation is still a challenging problem in most pedestrian navigation applications because of the bias of low-cost smartphone ...
Junhua Ye, Ahmed Mansour, Fenghua Huang
doaj +2 more sources
Forced fusion in multisensory heading estimation. [PDF]
It has been shown that the Central Nervous System (CNS) integrates visual and inertial information in heading estimation for congruent multisensory stimuli and stimuli with small discrepancies. Multisensory information should, however, only be integrated
Ksander N de Winkel +2 more
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