1. Development of sensor based front end collision avoidance system for highways

Potential of hazards duetocollisionbetween theautomobilesare severe and often life threatening. The reason found forcollisionin most of the cases was inattention of the driver duetolong and exhausting drive. The chances of front endcollisionthus become unavoidable in highways. Front endcollisionavoidancesystem(FECAS) work independently and isdesignedtoreducethe speed of a vehicle automatically on probability of potential crash. The work done on FECAS for minimizing the chances ofcollisionis presented here. The work focuses on thecollisionavoidancebetween the two vehicles moving one after another by detecting the position of the preceding vehicle and controlling the speed of the host vehicle that carries the FECAS. A fusion of sensors was usedtoget the information about the position and speed of the preceding vehicle. Speed of the host vehicle was gradually or immediatelyreducedaccordingly. Virtualsystemmodeling was carried out and tested with hardware in loop simulation for sensors and actuation performance. Finally, the FECAS was incorporated on scaled model of a car and tested in the real environment. Successful controlling of the car was achieved under all conditions. The car cametocomplete halt at a distance varying between 0.65 mto2.5 m and no incidence ofcollisionoccurred when the car was in the critical zone.

Published in: Information and Automation, 2015 IEEE International Conference onDate of Conference: 8-10 Aug. 2015

Page(s): 594 - 598Conference Location : Lijiang, China

DOI: 10.1109/ICInfA.2015.7279356Publisher: IEEE2. Development of safety zone detection and collision avoidance using wireless network

Nowadays it is saidtobe that most of the people die duetoaccidents occurring in the road side than any diseases. In some cases accidents also occurs duetomechanical failure of the vehicle. But in most of the cases it is duetohuman who drives these vehicles in crowded areas. In ordertoavoid such a situation highway department has placed signboardstoalert the drivers, but it is not always possibletoview those signboards while driving. So the drivers may lose their control over the brakes and also may collide with other pedestrians or it may hit any stationary vehicles. In ordertoavoid this situation we are using a newsystemfor detecting crowded areas calledsafetyzones and avoiding collision. Thesystemautomatically controls the speed of the vehicle at varioussafetyzones. This systemisdesignedwith two separate units: Zone status transmitter unit and Vehicle control unit, once the emergency zone is detected, the control data can be exchanged between vehicle control unit and the road side transmitter unit, and the controller automaticallyreducesthe speed of the vehicle. Simulation and experimental result shows that thissystemis easily adopted and avoidscollisions.

Published in: Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 International Conference onDate of Conference: 6-8 May 2015

Page(s): 112 - 118Print ISBN: 978-1-4799-9854-8INSPEC Accession Number: 15403344Conference Location : ChennaiDOI: 10.1109/ICSTM.2015.7225399Publisher: IEEE3. Fuzzy Adaptive Cruise Control system with speed sign detection capability

Advanced Driver AssistanceSystem(ADAS) is one of latest innovations in the auto-mobile industry and has become a premium feature in many luxury vehicles. ADAS assists drivers by integrating multiplesafetyand convenience features into a singlesystem. Current ADAS technology usually comprises of an Adaptive Cruise Control (ACC)systemin combination with one or more warning/preventionsystems. Such as lane departure,collisionavoidance, and parking assistsystems. This paper outlines a fuzzy logic based ADAS with integrated speed sign detection (SSD) capability. The describedsystemimprovessafetyof the vehicle by dynamically adjusting the speed of the ACC in accordance with the speed limit of the road. The proposed ADASsystemwill be helpful inreducingspeeding violations and enhancing smoother cruise control in heavy traffic conditions. Allsystemdesign, implementation and testing was done using the MATLAB development environment, and TORCS virtual car simulator.

Published in: Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference onDate of Conference: 6-11 July 2014

Page(s): 968 - 976Print ISBN: 978-1-4799-2073-0INSPEC Accession Number: 14565059Conference Location : BeijingDOI: 10.1109/FUZZ-IEEE.2014.6891748Publisher: IEEE