Connected and autonomous electric vehicles: Quality of experience survey and taxonomy
More than ever, the automotive industry is shifting towards electric vehicles since
environmental and sustainability concerns are becoming important to potential customers …
environmental and sustainability concerns are becoming important to potential customers …
A Bayesian Network model for contextual versus non-contextual driving behavior assessment
Driving behavior is generally considered to be one of the most important factors in crash
occurrence. This paper aims to evaluate the benefits of utilizing context-relevant information …
occurrence. This paper aims to evaluate the benefits of utilizing context-relevant information …
Determination of navigation system positioning accuracy using the reliability method based on real measurements
M Specht - Remote Sensing, 2021 - mdpi.com
In navigation, the Twice the Distance Root Mean Square (2DRMS) is commonly used as a
position accuracy measure. Its determination, based on statistical methods, assumes that the …
position accuracy measure. Its determination, based on statistical methods, assumes that the …
Spatial risk modelling of behavioural hotspots: Risk-aware path planning for autonomous vehicles
Autonomous vehicles (AVs) are expected to considerably improve road safety. That said,
accident risk will continue to inflict societal costs. The ability to manage and measure these …
accident risk will continue to inflict societal costs. The ability to manage and measure these …
[PDF][PDF] Experimental studies on the relationship between HDOP and position error in the GPS system
M Specht - Metrology and Measurement Systems, 2022 - journals.pan.pl
Abstract 2D position error in the Global Positioning System (GPS) depends on the Horizontal
Dilution of Precision (HDOP) and User Equivalent Range Error UERE. The non-dimensional …
Dilution of Precision (HDOP) and User Equivalent Range Error UERE. The non-dimensional …
Towards unpacking older drivers' visual-motor coordination: A gaze-based integrated driving assessment
Visual information for a driver is predominant during driving. Linking drivers' visual search
patterns with motor behaviour helps understand how drivers perceived spatial and …
patterns with motor behaviour helps understand how drivers perceived spatial and …
Automatic change detection in lane-level road networks using GPS trajectories
Lane-level road network updating is crucial for urban traffic applications that use geographic
information systems contributing to, for example, intelligent driving, route planning and traffic …
information systems contributing to, for example, intelligent driving, route planning and traffic …
[HTML][HTML] Decision-adjusted driver risk predictive models using kinematics information
Accurate prediction of driving risk is challenging due to the rarity of crashes and individual
driver heterogeneity. One promising direction of tackling this challenge is to take advantage …
driver heterogeneity. One promising direction of tackling this challenge is to take advantage …
Consistency analysis of global positioning system position errors with typical statistical distributions
M Specht - The Journal of Navigation, 2021 - cambridge.org
Research into statistical distributions of φ, λ and two-dimensional (2D) position errors of the
global positioning system (GPS) enables the evaluation of its accuracy. Based on this, the …
global positioning system (GPS) enables the evaluation of its accuracy. Based on this, the …
Pursuing precise vehicle movement trajectory in urban residential area using multi-GNSS RTK tracking
Close-to-reality vehicle movement trajectory data can be useful in many transport and
geography studies when precise vehicle localization or timing is required in the application …
geography studies when precise vehicle localization or timing is required in the application …