Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Thuy Yung Tran"'
Publikováno v:
Sensors, Vol 18, Iss 12, p 4476 (2018)
An underwater imaging system was investigated for automotive use in highly scattered underwater environments. The purpose of the system is the driver’s information about hidden obstacles, such as stones, driftwood, open sewer hatches. A comparison
Externí odkaz:
https://doaj.org/article/41377365c95b48ff94af948a5151e5ca
Autor:
Andrew G. Stove, Marina Gashinova, Sergei Shishanov, Edward Hoare, Nigel Clarke, Mikhail Cherniakov, Thuy-Yung Tran, Aleksandr Bystrov
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 20:1170-1180
This paper explores radar methods to measure the coordinates (distance and height) of objects on or beside a road. Knowledge of these parameters is essential in the development of autonomous or semi-autonomous cars, as well as to improve driving safe
Autor:
Marina Gashinova, Thuy Yung Tran, Edward Hoare, Mikhail Cherniakov, Rui Du, Fatemeh Norouzian, B. Willetts, Emidio Marchetti, Nigel Clarke
Publikováno v:
IET Radar, Sonar & Navigation. 12:1104-1113
Low-terahertz (THz) (above 150 GHz) radar sensing is one of the promising technologies to provide safe navigation for autonomous cars due to its expected high-resolution imaging capability. It is anticipated that for robust operation at high levels o
Publikováno v:
2019 20th International Radar Symposium (IRS).
This paper experimentally examines backscattering of electromagnetic signals with frequencies of 79 GHz, 300 GHz, and 680 GHz from surfaces with different roughness. It is shown that signals in the low-Terahertz range have enhanced capabilities for e
Autor:
Thuy-Yung Tran, Aleksandr Bystrov, Edward Hoare, Nigel Clarke, Mikhail Cherniakov, Marina Gashinova
Publikováno v:
ICVES
In this paper, we compare the common remote sensing technologies in terms of their application for road surface classification. The presence of surface classification system in a vehicle will increase the safety of driving, especially in adverse weat
Autor:
Mike Cherniakov, Thuy-Yung Tran, Edward Hoare, Rui Du, Emidio Marchetti, Fatemeh Norouzian, Marina Gashinova
Publikováno v:
2017 European Radar Conference (EURAD).
Low-THz sensors represent the new research trend in the automotive industry [1], as this technology can offer high radar image resolution and, in particular, enhanced objects classification compared to commercial automotive radar systems, due to the
Autor:
Edward Hoare, Fatemeh Norouzian, Marina Gashinova, Rui Du, Thuy-Yung Tran, Mike Cherniakov, Emidio Marchetti
Publikováno v:
2017 18th International Radar Symposium (IRS).
The Radar Cross Section (RCS) is used to characterize the reflectivity of a target, which is essential for the detection performances of an automotive sensor system. Results of RCS measurements of a child mannequin at 300 GHz are presented for the fi
Autor:
Mikhail Cherniakov, Marina Gashinova, Nigel Clarke, Edward Hoare, Thuy-Yung Tran, Aleksandr Bystrov
Publikováno v:
ICVES
In this paper the practical issues of automotive surface identification system development are considering. The novelty of this work is the combining of different training algorithms, neural network structures and methods to increase the classificati
Autor:
Thuy-Yung Tran, Aleksandr Bystrov, Edward Hoare, Marina Gashinova, Mikhail Cherniakov, Nigel Clarke
Publikováno v:
2017 18th International Radar Symposium (IRS).
The development of automotive remote surface identification system is an important step in ensuring road safety. In this paper we shall discuss a novel approach which addresses the road surface classification process. This method is based on polarime
Autor:
Marina Gashinova, Thuy-Yung Tran, Nigel Clarke, Aleksandr Bystrov, Edward Hoare, Mikhail Cherniakov
Publikováno v:
Sensors; Volume 17; Issue 4; Pages: 745
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
In this paper we shall discuss a novel approach to road surface recognition, based on the analysis of backscattered microwave and ultrasonic signals. The novelty of our method is sonar and polarimetric radar data fusion, extraction of features for se