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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Recent Advances in Pedestrian Identification Using LiDAR and Deep Learning Methods in Autonomous Vehicles Subject The topic of the resource Autonomous vehicles; Deep learning; LiDAR; Pedestrian detection Description An account of the resource The myriad benefits of autonomous vehicles (AVs) encompassing passenger convenience, heightened safety, fuel consumption reduction, traffic decongestion, accident mitigation, cost-efficiency and heightened dependability have underpinned their burgeoning popularity. Prior to their full-scale integration into primary road networks substantial functional impediments in AVs necessitate resolution. An indispensable feature for AVs is pedestrian detection crucial for collision avoidance. Advent of automated driving is swiftly materializing owing to consistent deployment of deep learning (DL) methodologies for obstacle identification coupled with expeditious evolution of sensor and communication technologies exemplified by LiDAR systems. This study undertakes exploration of DL-based pedestrian detection algorithms with particular focus on YOLO and R CNN for purpose of processing intricate imagery akin to LiDAR sensor outputs. Recent epochs have witnessed DL approaches emerge as potentially potent avenue for augmenting real-time obstacle recognition and avoidance capabilities of autonomous vehicles. Within this scholarly exposition we undertake exhaustive examination of latest breakthroughs in pedestrian detection leveraging synergy of LiDAR and DL systems. This discourse comprehensively catalogues most pressing unresolved issues within realm of LiDAR-DL solutions furnishing compass for prospective researchers embarking on journey to forge forthcoming generation of economically viable autonomous vehicles. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Halgatti A.; Chethana G.; Shivaprasad G.; Gayathri R.; Babu S.R.; Girish G.P. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-1168 LNNS, pp. 187-196. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-3-031-73321-5_20" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-73321-5_20</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213328499&amp;doi=10.1007%2F978-3-031-73321-5_20&amp;partnerID=40&amp;md5=61e7020b13200a0e214e733b79c6884b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213328499&amp;doi=10.1007%2f978-3-031-73321-5_20&amp;partnerID=40&amp;md5=61e7020b13200a0e214e733b79c6884b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303173320-8 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Halgatti A., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Chethana G., RV College of Engineering, Bengaluru, India; Shivaprasad G., Faculty of Management Studies, CMS Business School, JAIN (Deemed-to-be University), Bengaluru, India; Gayathri R., CMS Business School, JAIN (Deemed-to-be University), Bengaluru, India; Babu S.R., Faculty of Management Studies, CMS Business School, JAIN (Deemed-to-be University), Bengaluru, India; Girish G.P., Department of Finance, (a Deemed to-be-University Under Sec 3 of UGC Act 1956), ICFAI Business School, IFHE University, Hyderabad, India