Autonomous Vehicle Control Using LIDAR SLAM and ROS With VISSIM Simulator in Rainy Weather

Car driving is a major issue in bad weather in Pakistan. There are many circumstances of weather like hot,cold and rainy or snowfall. Most of the drivers can’t control this scenario. Moreover, they can’t locate the area of direction.Internal combustion engines also can’t produce spark due to rain. In this scenario, ROS fulfilled the engine crisis significantly. LIDAR with SLAM(simultaneous localization & mapping) has the capability to increase the efficiency of the engine by compensating with ROS and utilization of snow fall reserves with negligible effects of driving. Fuzzy logic system also discussed in paper so that it maintains the direction of ROS according to the raining data sheet. The prospects of this technology are explored in VISSIM simulator as a solution to traffic solutions and especially for the utilization of directions adjusting in rainy weather.Issues and challenges are considered for implementation of this technology and finally the roadmap for its implementation in our environment is discussed. Keywords: LIDAR with SLAM,ROS, fuzzy logic design, engine efficiency.

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Publication Details

Journal
ACADEMIA International Journal for Social Sciences
Published
2024-12-01
DOI
https://doi.org/10.63056/acad.003.02.0381
Primary Topic
Robotic Path Planning Algorithms
Type
article
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0.00
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article

Autonomous Vehicle Control Using LIDAR SLAM and ROS With VISSIM Simulator in Rainy Weather

Farkhund Iqbal
ACADEMIA International Journal for Social Sciences
Robotic Path Planning Algorithms
article

Autonomous Vehicle Control Using LIDAR SLAM and ROS With VISSIM Simulator in Rainy Weather

Farkhund Iqbal
article en

Abstract

Car driving is a major issue in bad weather in Pakistan. There are many circumstances of weather like hot,cold and rainy or snowfall. Most of the drivers can’t control this scenario. Moreover, they can’t locate the area of direction.Internal combustion engines also can’t produce spark due to rain. In this scenario, ROS fulfilled the engine crisis significantly. LIDAR with SLAM(simultaneous localization & mapping) has the capability to increase the efficiency of the engine by compensating with ROS and utilization of snow fall reserves with negligible effects of driving. Fuzzy logic system also discussed in paper so that it maintains the direction of ROS according to the raining data sheet. The prospects of this technology are explored in VISSIM simulator as a solution to traffic solutions and especially for the utilization of directions adjusting in rainy weather.Issues and challenges are considered for implementation of this technology and finally the roadmap for its implementation in our environment is discussed. Keywords: LIDAR with SLAM,ROS, fuzzy logic design, engine efficiency.

ACADEMIA International Journal for Social SciencesVol. 3(2)
NED University of Engineering and Technology (PK)
Openalex Percentile: Top 69%
Robotic Path Planning Algorithms
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