Duc Thang NGUYEN
ADAS - Autonomous vehicle engineer
Driving License
Employed
Available
ADAS – Autonomous vehicle engineer
AKKA Technologies
Since January 2016
Guyancourt
France
- Autonomous vehicle (Renault): Performance improvement of the Renault autonomous prototype
Technical environments: Ubuntu 16, Docker, ROS, C++ - Autonomous vehicle (confidential client): Realise autonomous driving on an electric vehicle for a demonstration purpose
o Realise unit validation and system validation
Technical environments: Matlab/Simulink, RTMaps, C++ - Autonomous vehicle (ICONIQ motors): Conception of autonomous connected
vehicle level 4
o Propose functional architecture
o Define use cases - Steer-by-Wire (Renault): Develop an electro-mechanic system that replaces the mechanical link between the steering wheel and the directional wheels
o Define functional requirements for the system
o Validate a car model for control law development
o Define system components
o Develop the system control law
o Define test scenario for the control system
Technical environments: Matlab/Simulink 2013b, Model Based Design - Truck platooning (confidential client): Research technical solution for a platoon which can operate on different terrains without neither predefined trajectory nor GPS
o Define functional requirements for the service
o Study sensor configuration
o Generate the trajectory for the follower vehicles based on the position estimation of the leader truck
o Develop longitudinal control laws
Technical environments: Matlab/Simulink 2017b - AUTOPILOT project (European project - Develop autonomous small electric cars for using in a tourism area): Realise the platooning service
o Define operational requirements and operational scenarios for the platoon
o Develop the platoon longitudinal control law
Technical environments: Matlab/Simulink 2013b
Project partners: VEDECOM, CAE, Renault, YOGOKO, ESTECH, FAAR Industry - Simulation of Autonomous Vehicle (SystemX): Modelling autonomous system components on Matlab/Simulink for system validation
o Develop a functional model of a long range radar
o Simulate the Adaptive Cruise Control using the radar model
Technical environments: Matlab/Simulink 2013b, SCANeR
Project partners: IRT SystemX, OKTAL, Renault, Continental, Valeo - PACAERO project (Zodiac Aerospace): Realise the control law for fuel cell applied to the plane kitchen
o Develop the power regulation for the fuel cell based on the Model Based Design
o Develop system supervisory controller
o Validate the controlled system
o Generate and validate C code
Technical environments: Matlab/Simulink 2013b, Model Based Design, DO178C
Lecturer – researcher
Thai Nguyen Technological University – Vietnam
January 2013
to December 2015
- o Model complex systems
o Develop control laws for complex systems based on neural network, fuzzy logic and adaptive control
o Realise the control laws via the card I/O ARDUNO
o Develop the Adaptive Cruise Control which operates from 0km/h, applicable for controlling the speed of the autonomous vehicle. The ACC controller is tested by many traffic situations and it is demonstrated to be robust, safe and comfort for the passenger
o Technical environments: Matlab/Simulink, DSpace
ADAS Engineer
Reneault S.A.
April 2011
to September 2012
- Realise unmanned vehicle prototypes for an autonomous “taxi service”
o Contribute to the autonomous vehicle functional concept
o Realise the Supervisory control of the autonomous system: requirements, use cases, C++ development, documents
o Analyse technical requirements for radars used in the project
o Test and valid the operation of radars and cameras used for the prototype
Technical environments:
o Matlab/Simulink, State Machine, JAU, Visual Studio 2010, C++, CANalyzer, Ethernet - TCP/IP, Artisan Studio, ISO26262
o Renault Fluence, Passerelle CAN, MicroAutoBox, Camera, Radar, PC Windows
Lecturer – researcher
Thai Nguyen University of Technology - Vietnam
January 2009
to December 2010
- o Apply dynamic neuron network to build models of multi-motion complex systems on Matlab/Simulink
o Develop numerical card to control two direct current motors leading a common load
o Program the control law for the microprocessor
o Technical environments:
o Matlab/Simulink, C, CCS, Microprocessor PIC, HIL
Researcher - Ph.D. student
The University of Birmingham - UK
January 2004
to October 2008
- o Design a recurrent neural network to model nonlinear dynamic systems
o Develop training algorithm to obtain a dynamic model of the system based on the input-output data
o Develop leaning control law that can deal with the uncertainties of the system
o Illustrate the stability of the controlled system
o Apply to modelling and control of a robot manipulator
Technical environment:
o Matlab/Simulink student version
Lecture assistance
Thai Nguyen University of Technonlogy - Vietnam
April 1997
to December 2003
- o Simulation Matlab/Simulink
Technical environments:
o Matlab/Simulink
