Vehicle localization using in-vehicle pitch data and dynamical models

EI Laftchiev, CM Lagoa… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper describes a dynamical model-based method for the localization of road vehicles
using terrain data from the vehicle's onboard sensors. Road data are encoded using linear …

Vehicle Localization Method Based on MEMS Sensor Data Comprising Pressure, Acceleration, and Angular Velocity

T Yamagiwa, T Yokota - 2022 IEEE International Conference …, 2022 - ieeexplore.ieee.org
The Global Navigation Satellite System (GNSS) is a widely used method for estimating the
location of a car, but its accuracy can decrease depending on the reception status of radio …

Vehicle Localization by Correlated MEMS Sensor Dta with Velocity Compensation

T Yokota - 2023 IEEE 26th International Conference on …, 2023 - ieeexplore.ieee.org
The Global Navigation Satellite System (GNSS) is widely utilized to accurately determine the
position of a vehicle, but at present, the accuracy may be degraded depending on the radio …

Vehicle localization by dynamic programming from altitude and yaw rate time series acquired by MEMS sensor

T Yokota - SICE Journal of Control, Measurement, and System …, 2021 - Taylor & Francis
Localization technology is mostly achieved through Global Navigation Satellite Systems
(GNSS). However, in mountainous areas where leaves and trees block signals from …

Robust map design by outlier point selection for terrain-based vehicle localization

E Laftchiev, C Lagoa, S Brennan - 52nd IEEE Conference on …, 2013 - ieeexplore.ieee.org
Using terrain data and dynamical models is a promising approach to map-based passenger
vehicle localization. In this approach, dynamical models are extracted from terrain data …

Ground vehicle localization based on inertial measurement signals

J Gim, C Ahn - 2015 15th International Conference on Control …, 2015 - ieeexplore.ieee.org
Terrain profiles can be a basis of localization even in the absence of Global Positioning
System (GPS). Especially, the pitch rate signals of a ground vehicle well represent the …

Robust data map design using chance constrained optimization

E Laftchiev, C Lagoa, S Brennan - 2014 American Control …, 2014 - ieeexplore.ieee.org
This paper presents a chance constrained approach to extracting linear models from
reference data to be used in subsequence identification or pattern matching. Due to the …

[PDF][PDF] Network-wide Vehicle Localization Algorithm based on MEMS Sensor Data

T Yokota - Automation, Robotics & Communications for Industry …, 2024 - researchgate.net
The Global Navigation Satellite System (GNSS) has been widely utilized as a method to
accurately determine the position of a vehicle, but at present, the accuracy may be degraded …

Global and local frameworks for vehicle state estimation using temporally previewed mapped lane features

AA Brown, SN Brennan - 2013 IEEE Intelligent Vehicles …, 2013 - ieeexplore.ieee.org
This paper proposes a method for using a forward-looking monocular camera along with
previewed road geometry from a high-fidelity, low-dimensional map to estimate lateral …

[图书][B] Robust dynamical model-based data representations and structuring of time series data for in-sequence localization

E Laftchiev - 2015 - search.proquest.com
In the modern era there is an unprecedented ability to actuate via an increasingly cheaper
array of actuators, and to sense through a growing, increasingly cheaper, array of sensors …