Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Short Survey Short survey Faculty Publications- Short Surveys Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An In-Depth Analysis of Collision Avoidance Path Planning Algorithms in Autonomous Vehicles Subject The topic of the resource artificial intelligence; autonomous surface vehicle; collision avoidance; dynamic environment; Path planning; unmanned vehicle Description An account of the resource Path planning is a way to define the motion of an autonomous surface vehicle (ASV) in any existing obstacle environment to enable the vehicle's movement by setting directions to avoid that can react to the obstacles in the vehicle's path. A good, planned path perceives the environment to the extent of uncertainty and tries to build or adapt its change in the path of motion. Efficient path planning algorithms are needed to alleviate deficiencies, that are to be modified using the deterministic path that leads the ASV to reach a goal or a desired location while finding optimal solution has become a challenge in the field of optimization along with a collision-free path, making path planning a critical thinker. The traditional algorithms have a lot of training and computation, making it difficult in a realistic environment. This review paper explores the different techniques available in path planning and collision avoidance of ASV in a dynamic environment. The objective of good path planning and collision avoidance for a dynamic environment is compared effectively with the existing obstacles movement of different vehicles. Different path planning technical approaches are compared with their performance and collision avoidance for unmanned vehicles in marine environments by early researchers. This paper gives us a clear idea for developing an effective path planning technique to overcome marine accidents in the dynamic ocean environment while choosing the shortest, obstacle-free path for Autonomous Surface Vehicles that can reduce risk and enhance the safety of unmanned vehicle movement in a harsh ocean environment. 2024 Bentham Science Publishers. Creator An entity primarily responsible for making the resource Daniel K.L.; Poonia R.C. Source A related resource from which the described resource is derived Recent Advances in Computer Science and Communications, Vol-17, No. 8, pp. 62-72. Publisher An entity responsible for making the resource available Bentham Science Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.2174/0126662558258394231228080539" target="_blank" rel="noreferrer noopener">https://doi.org/10.2174/0126662558258394231228080539</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200216750&amp;doi=10.2174%2F0126662558258394231228080539&amp;partnerID=40&amp;md5=b6828165d16cf6346a3b585054e489d3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200216750&amp;doi=10.2174%2f0126662558258394231228080539&amp;partnerID=40&amp;md5=b6828165d16cf6346a3b585054e489d3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26662558 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Short survey Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Daniel K.L., Amity Institute of Information Technology, Amity University Rajasthan, Jaipur, 303002, India; Poonia R.C., Department of Computer Science, Christ (Deemed to be University), NCR, Delhi, 201003, India