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 35- Novel metrics for real-time monitoring of driving behaviour and diagnosis of car accidents

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) 2-21 Review of the actual analysis metrics

2) 2-22 Modeling of the preliminary analysis metrics

3) 2-23 Metrics implementation using simulation software

4) 2-24 Metrics validation using simulation tools

5) 3-23 A-GNSS integration with navigation algorithms / analysis metrics

6) 3-32 Monitoring data integration with navigation algorithms / analysis metrics

7) 3-41 Implementation of the driving behaviour analysis metrics

8) 3-42 Real car test setups and planning

9) 3-43 Driving behaviour test realisation

10) 3-44 Results analysis/study on possible metrics improvement

11) 3-45 Modeling and testing of improved analysis metrics

12) 3-71 Review of the actual analysis metrics

13) 3-72 Modeling of the preliminary analysis metrics

14) 3-73 Metrics implementation using simulation software

15) 3-74 Metrics validation using simulation tools

16) 3-81 Implementation of the accident analysis metrics

17) 3-82 Real car test setups and planning

18) 3-83 Real car accident test realisation

19) 3-84 Results analysis/study on possible metrics improvement

20) 3-85 Modeling and testing of improved analysis metrics

21) 4-21 Modeling of improved analysis metrics

22) 4-22 Metric validation in controlled environment

23) 4-23 Final driving behaviour test realisation

24) 4-24 Final real car accident tests realisation

25) 4-25 Analysis metrics validation and performance analysis

26) 4-51 Test setup and planning for vehicle fleet testing

27) 4-52 System implementation on different vehicles

28) 4-53 Intensive testing of the fleet management system

29) 4-54 Results analysis and management system improvement

30) 4-55 Implementation of the improved system on vehicle fleet

31) 4-56 Validation of the fleet management system

The objective of this student’s project is to develop innovative metrics for real-time monitoring of driving behaviour and real-time analysis and diagnosis of car accidents. These metrics will be based on measurements from various sensors strategically placed on the vehicle’s frame and results will be carried out using advanced signal processing 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 second year, the PhD student will focus on the study of the dynamics of automotive vehicles during a road accident. He will first consider major types of accidents including, but not limited to, frontal impact, side impact, turnovers and skidding. This work will first involve an in-depth literature review on the state of the art techniques currently used in the accident analysis domain. Following this study, the Ph.D. student will evaluate possible methods for the simulation of road accidents in order to obtain realistic measurements on the dynamics of a car during various accident scenarios. Once the dynamics of accidents studied, the Ph.D. student will conduct a comprehensive analysis of the raw measurements in order to determine appropriate sensors as well as their location on the vehicle’s frame. During the first year, the Ph.D. student will also model preliminary metrics solely based on simulated measurements. These metrics will first be implemented, analyzed and validated in Matlab / Simulink.
The third year will be mainly dedicated to the real-time implementation and integration of the modeled metrics into the Orchid VTADS prototype. During this phase, the metrics will be intensively tested in order to quantify their performances, accuracy and robustness in various simulated as well as realistic environments. Indeed, real tests will be conducted during this year including dangerous driving behaviour tests executed by a professional driver on a closed circuit as well as car crash testing realized by a specialized company. Following these tests, the Ph.D. student will analyze the results of the preliminary metrics in order to identify its major weaknesses and suggest possible improvements.
In response to the third year, the last year will be mainly dedicated to the identification of major flaws in the current analysis metrics and its improvement. During this phase, the Ph.D. candidate will return to research in order to explore new approaches for improving these metrics using data recorded during the real environement tests. The student will then model new innovative metrics that are more adapted to realistic environments. He will first validate these metrics in simulation using Matlab / Simulink and then test it on the real data using the previously recorded measurements. Finaly, a second phase of real tests will be conducted in order to validate the real-time analysis and diagnosis metrics.

Ideal duration : 3 years
Type of trainee Doctorate
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