{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T16:08:54Z","timestamp":1764778134884,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","funder":[{"name":"Department of Transportation","award":["PacTrans Regional UTC"],"award-info":[{"award-number":["PacTrans Regional UTC"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,12,3]]},"DOI":"10.1145\/3769102.3774639","type":"proceedings-article","created":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T16:00:41Z","timestamp":1764777641000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Edge-Deployable LLMs for Autonomous Vehicle Intelligence"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-3147-5094","authenticated-orcid":false,"given":"Ishparsh","family":"Uprety","sequence":"first","affiliation":[{"name":"School of Engineering and Computer Science, Washington State University, Vancouver, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5120-0972","authenticated-orcid":false,"given":"Xinghui","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Engineering and Computer Science, Washington State University, Vancouver, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,12,3]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Mujadded Al Rabbani Alif. 2024. YOLOv11 for Vehicle Detection: Advancements Performance and Applications in Intelligent Transportation Systems. arXiv:2410.22898 [cs.CV] https:\/\/arxiv.org\/abs\/2410.22898"},{"key":"e_1_3_2_1_2_1","unstructured":"NVIDIA Corporation. 2023. Jetson Orin Nano Datasheet. Online. https:\/\/openzeka.com\/wp-content\/uploads\/2023\/03\/jetson-orin-nano-datasheet-r4-web.pdf Accessed: 2025-01-30."},{"key":"e_1_3_2_1_3_1","volume-title":"International Conference on Learning Representations (ICLR). https:\/\/arxiv.org\/abs\/2110","author":"Dettmers Tim","year":"2022","unstructured":"Tim Dettmers, Mike Lewis, Sam Shleifer, and Luke Zettlemoyer. 2022. 8-bit optimizers via block-wise quantization. In International Conference on Learning Representations (ICLR). https:\/\/arxiv.org\/abs\/2110.02861"},{"key":"e_1_3_2_1_4_1","volume-title":"Gptq: Accurate post-training quantization for generative pre-trained transformers. arXiv preprint arXiv:2210.17323","author":"Frantar Elias","year":"2022","unstructured":"Elias Frantar, Saleh Ashkboos, Torsten Hoefler, and Dan Alistarh. 2022. Gptq: Accurate post-training quantization for generative pre-trained transformers. arXiv preprint arXiv:2210.17323 (2022)."},{"key":"e_1_3_2_1_5_1","unstructured":"Daocheng Fu Xin Li Licheng Wen Min Dou Pinlong Cai Botian Shi and Yu Qiao. 2023. Drive Like a Human: Rethinking Autonomous Driving with Large Language Models. arXiv:2307.07162 [cs.RO] https:\/\/arxiv.org\/abs\/2307.07162"},{"key":"e_1_3_2_1_6_1","volume-title":"llama.cpp: Port of LLaMA for CPU inference. https:\/\/github.com\/ggerganov\/llama.cpp. Accessed","author":"Gerganov Georgi","year":"2025","unstructured":"Georgi Gerganov. 2023. llama.cpp: Port of LLaMA for CPU inference. https:\/\/github.com\/ggerganov\/llama.cpp. Accessed March 2025."},{"key":"e_1_3_2_1_7_1","volume-title":"International Conference on Learning Representations (ICLR). https:\/\/arxiv.org\/abs\/1510","author":"Han Song","year":"2016","unstructured":"Song Han, Huizi Mao, and William J Dally. 2016. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding. In International Conference on Learning Representations (ICLR). https:\/\/arxiv.org\/abs\/1510.00149"},{"key":"e_1_3_2_1_8_1","volume-title":"EMMA: End-to-End Multimodal Model for Autonomous Driving. arXiv:2410.23262 [cs.CV] https:\/\/arxiv.org\/abs\/2410.23262","author":"Hwang Jyh-Jing","year":"2024","unstructured":"Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, Yin Zhou, James Guo, Dragomir Anguelov, and Mingxing Tan. 2024. EMMA: End-to-End Multimodal Model for Autonomous Driving. arXiv:2410.23262 [cs.CV] https:\/\/arxiv.org\/abs\/2410.23262"},{"key":"e_1_3_2_1_9_1","unstructured":"Albert Q. Jiang Alexandre Sablayrolles Arthur Mensch Chris Bamford Devendra Singh Chaplot Diego de las Casas Florian Bressand Gianna Lengyel Guillaume Lample Lucile Saulnier L\u00e9lio Renard Lavaud Marie-Anne Lachaux Pierre Stock Teven Le Scao Thibaut Lavril Thomas Wang Timoth\u00e9e Lacroix and William El Sayed. 2023. Mistral 7B. arXiv:2310.06825 [cs.CL] https:\/\/arxiv.org\/abs\/2310.06825"},{"key":"e_1_3_2_1_10_1","unstructured":"Edouard Leurent. 2018. An Environment for Autonomous Driving Decision-Making. https:\/\/github.com\/eleurent\/highway-env."},{"key":"e_1_3_2_1_11_1","first-page":"4780","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"34","author":"Li Yuhang","year":"2020","unstructured":"Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, and Wei Wang. 2020. Rtn: Reparameterized ternary network. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34. 4780-4787."},{"key":"e_1_3_2_1_12_1","volume-title":"Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. arXiv:2207.05844 [cs.CV] https:\/\/arxiv.org\/abs\/2207.05844","author":"Nayakanti Nigamaa","year":"2022","unstructured":"Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, and Benjamin Sapp. 2022. Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. arXiv:2207.05844 [cs.CV] https:\/\/arxiv.org\/abs\/2207.05844"},{"key":"e_1_3_2_1_13_1","unstructured":"OpenAI. 2022. ChatGPT. https:\/\/chat.openai.com\/. Accessed: 2025-08-29."},{"key":"e_1_3_2_1_14_1","volume-title":"Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving. In European Conference on Computer Vision. Springer, 165-181","author":"Peng Zhenghao","year":"2025","unstructured":"Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, and Justin Fu. 2025. Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving. In European Conference on Computer Vision. Springer, 165-181."},{"key":"e_1_3_2_1_15_1","volume-title":"Deep reinforcement learning framework for autonomous driving. arXiv preprint arXiv:1704.02532","author":"Sallab Ahmad EL","year":"2017","unstructured":"Ahmad EL Sallab, Mohammed Abdou, Etienne Perot, and Senthil Yogamani. 2017. Deep reinforcement learning framework for autonomous driving. arXiv preprint arXiv:1704.02532 (2017)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Ari Seff Brian Cera Dian Chen Mason Ng Aurick Zhou Nigamaa Nayakanti Khaled S. Refaat Rami Al-Rfou and Benjamin Sapp. 2023. MotionLM: Multi-Agent Motion Forecasting as Language Modeling. arXiv:2309.16534 [cs.CV] https:\/\/arxiv.org\/abs\/2309.16534","DOI":"10.1109\/ICCV51070.2023.00788"},{"key":"e_1_3_2_1_17_1","unstructured":"A. Singh A. Gupta et al. 2023. Large Language Models for Robotics: A Survey. arXiv preprint arXiv:2307.16431 (2023). https:\/\/arxiv.org\/abs\/2307.16431"},{"key":"e_1_3_2_1_18_1","unstructured":"Hugo Touvron Louis Martin Kevin Stone Peter Albert Amjad Almahairi Yasmine Babaei Nikolay Bashlykov Soumya Batra Prajjwal Bhargava Shruti Bhosale et al. 2023. Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023)."},{"key":"e_1_3_2_1_19_1","unstructured":"Ao Wang Hui Chen Lihao Liu Kai Chen Zijia Lin Jungong Han and Guiguang Ding. 2024. YOLOv10: Real-Time End-to-End Object Detection. arXiv:2405.14458 [cs.CV] https:\/\/arxiv.org\/abs\/2405.14458"},{"key":"e_1_3_2_1_20_1","volume-title":"International Conference on Machine Learning. PMLR, 38087-38099","author":"Xiao Guangxuan","year":"2023","unstructured":"Guangxuan Xiao, Ji Lin, Mickael Seznec, Hao Wu, Julien Demouth, and Song Han. 2023. Smoothquant: Accurate and efficient post-training quantization for large language models. In International Conference on Machine Learning. PMLR, 38087-38099."},{"key":"e_1_3_2_1_21_1","volume-title":"International Conference on Learning Representations (ICLR). https:\/\/arxiv.org\/abs\/2210","author":"Yao Shunyu","unstructured":"Shunyu Yao, Jeffrey Zhao, Dian Yu, and et al. 2023. ReAct: Synergizing reasoning and acting in language models. In International Conference on Learning Representations (ICLR). https:\/\/arxiv.org\/abs\/2210.03629"},{"key":"e_1_3_2_1_22_1","unstructured":"B. Zhang Y. Li et al. 2024. From Perception to Decision-Making: LLMs in Autonomous Driving. arXiv preprint arXiv:2405.01836 (2024). https:\/\/arxiv.org\/abs\/2405.01836"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3134702"}],"event":{"name":"SEC '25: Tenth ACM\/IEEE Symposium on Edge Computing","location":"the Hilton Arlington National Landing Arlington VA USA","acronym":"SEC '25","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","IEEE Computer Society"]},"container-title":["Proceedings of the Tenth ACM\/IEEE Symposium on Edge Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3769102.3774639","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T16:04:07Z","timestamp":1764777847000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3769102.3774639"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,3]]},"references-count":23,"alternative-id":["10.1145\/3769102.3774639","10.1145\/3769102"],"URL":"https:\/\/doi.org\/10.1145\/3769102.3774639","relation":{},"subject":[],"published":{"date-parts":[[2025,12,3]]},"assertion":[{"value":"2025-12-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}