ETS
22/09/2017 - LASSENA AVIO-505 won the Best of Session (IMA-4) Award at DASC’17
Congratulation to AVIO-505 team! The paper “Direct RF Sampling Transceiver Architecture Applied to VHF Radio, ACARS, and ELTs” won the Best of... (+ de détail)
22/09/2017 - Congratulations,Neda Navidi! Best Paper Award in ICCSTE 2017.
Congratulations to Mme. Neda Navidi who was presented the Best Paper Award in ICCSTE 2017 (Vancouve,Canada,August 7-8,2017). Mme. Neda Navidi is... (+ de détail)
22/09/2017 - Congratulations! Best Student Paper Award in ICNS 2017
Congratulations to Mr. Abdessamad Amrhar who was presented the Best Student Paper Award in ICNS 2017( Herdon, VA,USA, April 18-20, 2017). We also... (+ de détail)
26/09/2015 - Adrien Mixte passed successfully his master oral exam !
Congratulations to Adrien Mixed which received honors for his defense on August 28, 2015. His project, ibNav, focused on the development of a... (+ de détail)
26/09/2015 - Mr. Marc-Antoine Fortin made his PhD oral exam successfully and distinction « Excellence »
Congratulations to Mr. Marc-Antoine Fortin who made his PhD oral exam successfully. The works of mister Fortin's master's degree, subject the title... (+ de détail)
26/09/2015 - Mrs.Neda Navidi gets the Best Poster Award attributed by the UAV-g 2015
Congratulations to Mrs. Neda Navidi who gets the Best Poster Award during the UAV-g 2015 conference, in Toronto, Canada, the September 2nd 2015.... (+ de détail)
22/05/2015 - LASSENA’s work awarded at 2015 ICNS
The work entitled "Integrated Direct RF Sampling Front-end for VHF Avionics Systems" has been recognized as the Best Future Communications Paper... (+ de détail)
20/10/2014 - LASSENA’s work awarded at 33rd DASC
The work entitled "DME/DME Navigation using a Single Low-Cost SDR and Sequential Operation" has been recognized as the Best Paper of the Session... (+ de détail)
09/10/2014 - New research project awarded by NSERC in the field of protection against satellite interference: AVIO-601
Recently, Professor René Jr. Landry from the Department of Electrical Engineering of ÉTS has obtained a Collaborative Research and Development... (+ de détail)
24/09/2014 - Stéphane Ehouman has obtained the second prize at ReSMiQ Innovation Day
Congratulations to Mr. Stéphane Ehouman who has obtained the second prize at ReSMiQ Innovation Day competition celebrated on September 18, 2014.... (+ de détail)
27/08/2014 - Mohammad Honarparvar passed successfully his Ph.D. oral exam (DGA-1033)
Congratulations to Mr. Mohammad Honarparvar who passed the Ph.D. oral examination part of his DGA-1033. Mohammad's thesis is entitled : "Design of... (+ de détail)
27/06/2014 - AMOOS Conferences
The LASSENA is pleased to invite you to international conferences about AMOOS project, Autonomous Mission for On-Orbit Servicing, of the 2014 ISU... (+ de détail)
20/06/2013 - Performance improvements of a navigation algorithm INS / GPS low cost used in urban areas
To provide a solution robust and accurate navigation , GPS receivers must operate in optimal conditions , that is to say have a direct line of... (+ de détail)
08/04/2013 - Marinvent and ETS successfully develop a wireless prototyping process for Marinvent’s APM through Engage project
Montreal, Quebec, Monday, April 8, 2013 – Marinvent announces today the successful completion of its Airfoil Performance Monitor (APM)-Engage... (+ de détail)
13/03/2013 - LASSENA’s participation at the 8th day of discoveries in 2013
Wednesday, March 13th was held the 8th edition of the discoveries day. On this day held a poster contest on research projects students master's... (+ de détail)
06/06/2012 - Philippe Lavoie made his defense viva(master’s degree) successfully and distinction "excellence"
Congratulations to Philippe Lavoie who made his viva (master's degree) successfully. The works of mister Lavoie's master's degree, subject the title... (+ de détail)
23/11/2011 - Software radios for highly integrated system architecture
The project aims at establishing new methods and techniques of processing of the digital signals for universal effective and strong plans of... (+ de détail)
22/11/2011 - The collaboration AÉROÉTS - Marinvent Corporation
The collaboration AÉROÉTS - Marinvent Corporation is a unique initiative establishing a consortium offering services of university and industrial... (+ de détail)
30/09/2011 - Embarked systems for the aerospace industry, a key specialization for the industry
The Department of electric engineering is proud to announce the creation of the new concentration embarked Systems for the aerospace industry of... (+ de détail)
03/05/2010 - Mister Kaveh Mollaiyan takes successfully his doctoral written examination
Congratulations to mister Kaveh Mollaiyan who took successfully his examination written by PhD. Mister . Mollaiyan's thesis is entitled: "... (+ de détail)
23/04/2010 - Mister Ramdane Ait-Aoudia pursues his works in the GRN of the LACIME within the framework of a training course S3
M. Ramdane Ait-Aoudia poursuit ses travaux au GRN du LACIME dans le cadre d'un stage S3 d'un projet en collaboration avec la compagnie iMetrik. Les... (+ de détail)
14/08/2009 - Mister Guillaume Lamontagne takes successfully his master’s degree in electric engineering
Mister Guillaume Lamontagne passed successfully his oral defense within the framework of his master's degree in electric engineering. Under the... (+ de détail)
10/06/2008 - ÉTS in space
A group of professors of the Laboratory of communications and integration of the microelectronics ( LACIME) of the ÉTS collaborated in the... (+ de détail)
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René Jr. Landry
ETS
CV TL Laboratories Teaching Research Research trainee
Informations on the project
Title 36- Realization of a robust low-cost integrated navigation system based on advanced non-linear estimation techniques for automotive applications in harsh environment

Project description :

Summary (MAX of 2100 characters with spaces)

This project aims to establish new design methods for robust and efficient automotive navigation and optimal management of a fleet of vehicles in harsh environments. In addition, the project also aims to develop innovative metrics for real-time analysis of dangerous driving behaviour as well as real-time analysis of car accidents in order to significantly improve global safety of Canadian drivers. In general, this research proposes to combine measurements from a high sensitivity GPS receiver with data coming from a self-contained inertial navigation system and other complementary autonomous sensors such as odometers and magnetometers. Moreover, in order to provide an affordable solution, the targeted system will be based exclusively on the use of very low cost sensors. It is expected that this project will help reduce the environmental footprint of motor vehicles in addition to having a significant positive impact on overall vehicle safety. For example, improving vehicle localisation accuracy and robustness in harsh environments can significantly reduce the time to find a stolen or misplaced vehicle, which can have an important impact on Canadian companies’ finances. Furthermore, having a robust and precise solution for monitoring vehicle behaviour can lead to the implementation of a new taxation system based on car usage or on driving behaviour, which according to recent studies, can help reduce vehicle greenhouse gas emissions by up to 10%. In addition, accurate reconstruction of car accidents in real-time allow prediction of specific parameters of an accident scene thus improving reaction time and vehicle safety. The proof-of-concept demonstrator will be evaluated in-laboratory and on-road using simulation equipment and a car test platform under real operating conditions in order to characterize protocols and system performance. The project will contribute to international initiatives for the definition of new standards and contribute to Canadian efforts to reduce greenhouse gas emissions, and create new employment opportunities for the team of highly qualified personnel.

Responsibilities of the candidate:

According to the schedule, the first Ph.D. student will be in charge of the following tasks:

1) 1-11 In-depth literature review on project topics

2) 1-13 Training on Orchid platform and associated tools

3) 1-14 Technical study on vehicles’ embedded sensors and data networks

4) 1-15 Technical study on AC1120S rate table

5) 1-34 Initial system architecture selection

6) 1-35 Study of sensor interconnection and data fusion

7) 1-42 Preliminary modeling of the calibration procedure

8) 1-44 Study of temperature effect on inertial measurements

9) 1-52 Preliminary modeling of the AHRS algorithm

10) 1-54 Study of soft and hard iron effects

11) 1-65 Study of advanced non-linear models

12) 2-41 Modeling of the temperature dependant model

13) 2-51 Modeling of the magnetic disturbance detection / compensation algorithm

14) 2-71 Study of advanced sensor error estimation models

15) 2-73 Mathematical modeling of online calibration algorithms

16) 2-91 Mathematical modeling of advanced non-linear filters

17) 2-92 Simulation of non-linear navigation models

18) 2-93 Tests and validation of the simulated non-linear navigation models

19) 3-11 Real-time development of navigation systems

20) 3-12 Real test setup and planning

21) 3-13 Test / validation of the navigation systems in various scenarios

22) 3-23 A-GNSS integration with navigation algorithms / analysis metrics

23) 3-32 Monitoring data integration with navigation algorithms / analysis metrics

The objective of this student’s project is to develop a robust low-cost integrated navigation system combining a high sensitivity GPS receiver with an inertial measurement unit and other autonomous sensors using advanced non-linear estimation techniques. He will closely collaborate with the other members of the research team and he will use a part of the research done by the Master’s and trainee students in order to fulfill his project’s goals.

The main goals of the first Ph.D. student’s work are the following:

During the first year, the Ph.D. student will first conduct an in-depth literature review on integrated navigation systems. His work will principally focus on the study of various navigation filters including linearized models as well as non-linear ones. He will study and consider all possible options without any limitation to the state of the art techniques. This work will include a very strong theoretical background on algorithms including but not limited to: extended Kalman filter, unscented Kalman filter and particle filter. The Ph.D. student will first conduct simple implementation of the filters (maybe not directly related to the final objective of the project) in order to familiarize himself with these estimation techniques. Following these simple implementations, the Ph.D. candidate will conduct a comprehensive analysis based on the obtained results in order to select the most promising algorithms that will be selected for real implementation.
The second year will be mainly dedicated to the modeling, implementation and integration of the selected advanced navigation filters into the multi-sensor integrated navigation system. During this phase, the Ph.D. student will work closely with graduate students that are also in charge of the development of the non-linear models. First, the selected algorithms will be mathematically modeled and implemented in Matlab / Simulink. These algorithms will then be tested intensively using simulated measurements from tools developed simultaneously by a Master’s student. Folowing, the algorithms will be tested and validated on real sensor measurements. After this validation, the Ph.D. student will focus on the real-time implementation of the algorithms into the Orchid VTADS prototype. In addition, The Ph.D. student will also incorporate the work from the Master’s students regarding sensor calibration into his system. The algorithms will be intensively tested in order to quantify their respective contribution to the system’s performance, accuracy, and robustness in various realistic environments. Finally, while the developed systems will be tested and validated by graduated students and trainees, the Ph.D. student will conduct an important study on online sensor error estimation and calibration in order to develop a complete online calibration method into the developed algorithms.
During the third year, the Ph.D. student will analyze in detail the developed algorithms in order to identify its major weaknesses. Hense, the last year will be mainly dedicated to the identification of major flaws in the current architecture of the system and its possible improvement. During this phase, the Ph.D. candidate will return to research in order to explore new approaches for improving this architecture (Add / Remove sensors, sensors redundency, addition of non-holonomic constraints, etc.). He will first validate these approaches in simulation using Matlab / Simulink and then test it on the real system in order to quantify their contribution to the navigation solution in realistic environments.

Ideal duration : 3 years
Type of trainee Doctorate
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