Analysis of Vehicle Overtaking Maneuver Using Embedded System in Keil Software and Algorithm Using Neural Network
|ANALYSIS OF VEHICLE OVERTAKING MANEUVER USING EMBEDDED SYSTEM IN KEIL SOFTWARE AND |
|ALGORITHM USING NEURAL NETWORK |
PROJECT REPORT
Submitted by
| K.DINESH |
| N.DHARMARAJ |
| R.KANNAN |
In partial fulfillment of the requirement for the award of the degree
of
BACHELOR OF ENGINEERING
in
MECHATRONICS ENGINEERING
K.S.RANGASAMY COLLEGE OF TECHNOLOGY, TIRUCHENGODE – 637 215
(An Autonomous Institution, Affiliated to Anna University Chennai and Approved by AICTE, New Delhi)
APRIL 2013
K.S.RANGASAMY COLLEGE OF TECHNOLOGY
TIRUCHENGODE-637215
BONAFIDE CERTIFICATE
Certified that this project report titled “ANALYSIS OF VEHICLE OVERTAKING MANEUVER USING EMBEDDED SYSTEM IN KEIL SOFTWARE AND ALGORITHM USING NEURAL NETWORK” is the bonafide work of K.DINESH(0915128), N.DHARMARAJ(0915123) and R.KANNAN(0915141) who carried out the project under my supervision. Certified further, that to the best of my knowledge the work reported herein does not form part of any other project report or dissertation on the basis of which a degree or award was conferred on an earlier occasion on this or any other candidate.
SIGNATURE
Dr. A. Murugesan, Ph.D.,
HEAD OF THE DEPARTMENT
Professor
Department of Mechatronics Engineering
K.S.Rangasamy College of Technology
Tiruchengode - 637 215
SIGNATURE
Mr. M. Gnanaprakash, M.E.,
SUPERVISOR
Assistant Professor
Department of Mechatronics Engineering
K.S.Rangasamy College of Technology
Tiruchengode - 637 215
Submitted for the viva-voce examination held on …………………
Internal Examiner External Examiner
|ALGORITHM USING NEURAL NETWORK |
PROJECT REPORT
Submitted by
| K.DINESH |
| N.DHARMARAJ |
| R.KANNAN |
In partial fulfillment of the requirement for the award of the degree
of
BACHELOR OF ENGINEERING
in
MECHATRONICS ENGINEERING
K.S.RANGASAMY COLLEGE OF TECHNOLOGY, TIRUCHENGODE – 637 215
(An Autonomous Institution, Affiliated to Anna University Chennai and Approved by AICTE, New Delhi)
APRIL 2013
K.S.RANGASAMY COLLEGE OF TECHNOLOGY
TIRUCHENGODE-637215
BONAFIDE CERTIFICATE
Certified that this project report titled “ANALYSIS OF VEHICLE OVERTAKING MANEUVER USING EMBEDDED SYSTEM IN KEIL SOFTWARE AND ALGORITHM USING NEURAL NETWORK” is the bonafide work of K.DINESH(0915128), N.DHARMARAJ(0915123) and R.KANNAN(0915141) who carried out the project under my supervision. Certified further, that to the best of my knowledge the work reported herein does not form part of any other project report or dissertation on the basis of which a degree or award was conferred on an earlier occasion on this or any other candidate.
SIGNATURE
Dr. A. Murugesan, Ph.D.,
HEAD OF THE DEPARTMENT
Professor
Department of Mechatronics Engineering
K.S.Rangasamy College of Technology
Tiruchengode - 637 215
SIGNATURE
Mr. M. Gnanaprakash, M.E.,
SUPERVISOR
Assistant Professor
Department of Mechatronics Engineering
K.S.Rangasamy College of Technology
Tiruchengode - 637 215
Submitted for the viva-voce examination held on …………………
Internal Examiner External Examiner
References: 1. Naranjo (2008),” Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver” IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 9, NO. 2. Hossein Jula(1999), “Collision Avoidance Analysis for Lane Changing and Merging” CALIFORNIA PATH PROGRAM INSTITUTE OF TRANSPORTATION STUDIES UNIVERSITY OF CALIFORNIA, BERKELEY. 3. Data N. Godbole (1998), “Distributed Hybrid Controls for Automated Vehicle lane changes” proceedings of the 37th IEEE Conference on Decision & Control Tampa, Florida USA. 4. Javier Díaz Alonso (2008),” Lane-Change Decision Aid System Based on Motion-Driven Vehicle Tracking” IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 57, NO. 5, 5 6. Fenghui Wang(2009),” Conflict-Probability-Estimation-Based Overtaking for Intelligent Vehicles”IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 10, NO. 2. 7. Umar Farooq,(2010),” Microcontroller Based Neural Network Controlled Low Cost Autonomous Vehicle” Second International Conference on Machine Learning and Computing 8