| fullrecord |
[{"key": "dc.contributor.advisor", "value": "Terziyan, Vagan", "language": null, "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Yan, Shengheng", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2024-06-12T09:11:23Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2024-06-12T09:11:23Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2024", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/95789", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "In this master\u2019s thesis, we investigate the integration of large language models into\r\nautonomous driving systems, with a particular emphasis on their potential to enhance interpretability, decision-making, and planning capabilities. We implement both data-driven and knowledge-driven models within the CARLA simulator across diverse scenarios, focusing\r\nspecifically on the TransFuser and LMDrive frameworks. This study provides a comparative analysis of these models utilizing a range of metrics. The results indicate that while LMDrive exhibits certain limitations in motion planning, it demonstrates significant competence in interpretability, particularly in recognizing traffic light signals and detecting bumpy road conditions.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "T\u00e4ss\u00e4 pro gradu -tutkielmassa tutkimme suurten kielimallien integrointia autonomisiin ajoneuvoj\u00e4rjestelmiin, erityisesti niiden potentiaalia parantaa tulkittavuutta, p\u00e4\u00e4t\u00f6ksentekoa ja suunnittelukyvykkyytt\u00e4. Toteutamme sek\u00e4 datal\u00e4ht\u00f6isi\u00e4 ett\u00e4 tiet\u00e4mysl\u00e4ht\u00f6isi\u00e4 malleja CARLA-simulaattorissa erilaisissa skenaarioissa keskittyen erityisesti TransFuser- ja LMDrive-kehyksiin. T\u00e4m\u00e4 tutkimus tarjoaa vertailevan analyysin n\u00e4ist\u00e4 malleista k\u00e4ytt\u00e4en useita mittareita. Tulokset osoittavat, ett\u00e4 vaikka LMDrive osoittaa tiettyj\u00e4 rajoituksia liikkeen suunnittelussa, se osoittaa merkitt\u00e4v\u00e4\u00e4 osaamista tulkittavuudessa, erityisesti liikennevalojen tunnistamisessa ja ep\u00e4tasaisen tien havaitsemisessa.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by jyx lomake-julkaisija (jyx-julkaisija.group@korppi.jyu.fi) on 2024-06-12T09:11:23Z\r\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2024-06-12T09:11:23Z (GMT). No. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "76", "language": null, "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "CC BY 4.0", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.title", "value": "Autonomous Driving Systems with Large Language Models : A Comparative Study of Interpretability and Motion Planning", "language": null, "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202406124556", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Artificial Intelligence", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.copyright", "value": "\u00a9 The Author(s)", "language": null, "element": "rights", "qualifier": "copyright", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://creativecommons.org/licenses/by/4.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
|