Collision Avoidance using Gazebo Simulator
Sandeep Jose1, Kavitha R2
1Sandeep Jose, Masters in Computer Applications from CHRIST (Deemed to be University). Rajagiri College of Management and Applied Sciences Kakkanad (Kerala), India.
2Kavitha R, Assistant Professor, Department of Computer Science, Madurai Kamaraj University Madurai (Tamil Nadu), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 826-832 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2445037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Autonomous cars will make its complete presence on roads in the future. A major feature of autonomous cars currently under research is collision avoidance on roads. Better collision avoidance systems could result in a decrease in number of accidents. Smart collision avoidance systems could handle the increasing amount of vehicles on roads. Collision avoidance system provides alert to the autonomous vehicles if an unavoidable collision is detected. When the collision is definite to happen, collision avoidance system takes action by its own without any driver input (by braking or steering or both). Collision avoidance system does the obstacle avoidance by gathering information about the environment with the help of sensors embedded in the system. The effectiveness of collision avoidance system depends upon the speed at which the system reacts from the gathered inputs. This paper uses the Gazebo simulation to design and implement collision avoidance. This paper also present a simple and effective obstacle avoidance algorithm for a simulated robot. Turtlebot’s Obstacle Avoider algorithm is attached to the robot in the simulator with the support of ROS(Robotic operating system) to implement collision avoidance.
Keywords: Autonomous cars, Gazebo simulator, LIDAR, Smart transport system, Turtle bot
Scope of the Article: Autonomous Robots