A sensor based robotic model for vehicle collision reduction

This work presents an integrated monitoring system to avoid accidents or collisions between vehicles from both (front and back) sides. It can be used to save human lives from a number of road accidents. To demonstrate such a low cost system, a distance sensors framework, microcontroller, remotely controlled unit using radio frequency, and an alarm unit are utilized. A navigation approach of the robot is also described based on the range sensors. To verify the presented strategy, the experimental test has been carried out in a real environment by moving robot between different vehicles and objects.

[1]  Takahiro Wada,et al.  A deceleration control method of automobile for collision avoidance based on driver's perceptual risk , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Satoru Takahashi,et al.  Mobile robot control based on information of the scanning laser range sensor , 2010, 2010 11th IEEE International Workshop on Advanced Motion Control (AMC).

[3]  Jian Wang,et al.  A New Method for Distance and Relative Velocity Measurement in Vehicle Collision Warning System , 2006, Sixth International Conference on Intelligent Systems Design and Applications.

[4]  Akira Shimada,et al.  Obstacle avoidance control on omnidirectional vehicle robots using range sensor , 2010 .

[5]  Christopher J. Harris,et al.  An intelligent driver warning system for vehicle collision avoidance , 1996, IEEE Trans. Syst. Man Cybern. Part A.

[6]  Manfred Ploechl.  Intelligent Vehicle Systems , 2013 .

[7]  Teodiano Freire Bastos Filho,et al.  Controlling the Navigation of a Mobile Robot in a Corridor with Redundant Controllers , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[8]  Emilio Frazzoli,et al.  The Golem Group/University of California at Los Angeles autonomous ground vehicle in the DARPA grand challenge , 2006, J. Field Robotics.

[9]  K.V. Kumar,et al.  Ultra Sonic Sensor Based Blind Spot Accident Prevention System , 2008, 2008 International Conference on Advanced Computer Theory and Engineering.

[10]  Luis Moreno,et al.  A Genetic Algorithm for Mobile Robot Localization Using Ultrasonic Sensors , 1999, J. Intell. Robotic Syst..

[11]  Emilio Frazzoli,et al.  The Golem Group / UCLA Autonomous Ground Vehicle in the DARPA Grand Challenge , 2007 .

[12]  Takeshi Kasuga,et al.  Design of a dependable model vehicle for rear-end collision avoidance and its evaluation , 2010, 2010 IEEE Instrumentation & Measurement Technology Conference Proceedings.

[13]  James Mcbride.  Urban Challenge Intelligent Vehicle Systems Technical Paper April 13 , 2007 , 2007 .

[14]  Francisco Blanes,et al.  Line-based incremental map building using infrared sensor ring , 2008, 2008 IEEE International Conference on Emerging Technologies and Factory Automation.

[15]  Pongsathorn Raksincharoensak,et al.  Seat vibrotactile warning interface for forward vehicle collision avoidance , 2010, Proceedings of SICE Annual Conference 2010.

[16]  R. Siegwart,et al.  A remote controlled mobile mini robot , 1996, MHS'96 Proceedings of the Seventh International Symposium on Micro Machine and Human Science.

[17]  K. H. Kim.  Sensor equipped robot control , 1996, Proceedings of IEEE International Symposium on Industrial Electronics.

[18]  Ilknur Colak,et al.  Evolving a Line Following Robot to use in shopping centers for entertainment , 2009, 2009 35th Annual Conference of IEEE Industrial Electronics.

[19]  Tankut Acarman,et al.  Non-standard safety technology , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[20]  A. Rakotonirainy,et al.  The Need of Intelligent Driver Training Systems for Road Safety , 2008, 2008 19th International Conference on Systems Engineering.