Beyond V2X: A Review of Large Language Models in In-Vehicle Autonomous Driving Systems

Large Language Models (LLMs) are emerging as key enablers of intelligent in-vehicle systems, supporting conversational interfaces, diagnostics, and decision support in autonomous driving. While prior surveys have focused on LLMs in vehicular infrastru

Authors

Institutions

Publication Details

Published
2025-08-20
DOI
https://doi.org/10.36227/techrxiv.175571972.28517288/v1
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond V2X: A Review of Large Language Models in In-Vehicle Autonomous Driving Systems

Ayan Roy
Topic Modeling
article

Beyond V2X: A Review of Large Language Models in In-Vehicle Autonomous Driving Systems

Ayan Roy
article en

Abstract

Large Language Models (LLMs) are emerging as key enablers of intelligent in-vehicle systems, supporting conversational interfaces, diagnostics, and decision support in autonomous driving. While prior surveys have focused on LLMs in vehicular infrastru

Christopher Newport University (US)
Openalex Percentile: Top 89%
Topic Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Beyond V2X: A Review of Large Language Models in In-Vehicle Autonomous Driving Systems — Ayan Roy · (2025) | TGRS Research Map | TGRS