Implementation of Highway Driving Automation with Path Planning Considering Obstacles

Self-sufficient vehicles are continually expanding inferable from an extensive variety of scope of assignments, including mechanized expressway driving and computerized stopping. These frameworks are normally either concentrated for organized conditions and depend exclusively on such structure being available in their environment or particular for unstructured situations and don't consider any structure that may exist. In this paper, we detail a half and half independent framework that perceives and adventures structure in nature distinguish driving paths, yet likewise explores the way. We have proposed a mechanized way arranging and estimation calculation for the independently directed vehicles. The viability of our framework on both checked streets and plain streets under the nearness of dynamic articles, for example, people on foot or different vehicles is displayed with the proposed way organizer and estimator calculation with recreations.

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Publication Details

Journal
International Journal of Engineering & Technology
Published
2026-04-21
DOI
https://doi.org/10.14419/ijet.v7i3.27.19263
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

Implementation of Highway Driving Automation with Path Planning Considering Obstacles

K Manjunathachari, P Parthasaradhy
International Journal of Engineering & Technology
Robotic Path Planning Algorithms
article

Implementation of Highway Driving Automation with Path Planning Considering Obstacles

K Manjunathachari, P Parthasaradhy
article en

Abstract

Self-sufficient vehicles are continually expanding inferable from an extensive variety of scope of assignments, including mechanized expressway driving and computerized stopping. These frameworks are normally either concentrated for organized conditions and depend exclusively on such structure being available in their environment or particular for unstructured situations and don't consider any structure that may exist. In this paper, we detail a half and half independent framework that perceives and adventures structure in nature distinguish driving paths, yet likewise explores the way. We have proposed a mechanized way arranging and estimation calculation for the independently directed vehicles. The viability of our framework on both checked streets and plain streets under the nearness of dynamic articles, for example, people on foot or different vehicles is displayed with the proposed way organizer and estimator calculation with recreations.

International Journal of Engineering & TechnologyVol. 7(3.27)
Sustainable cities and communities
Openalex Percentile: Top 6%
Robotic Path Planning Algorithms
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