Llm4drive: A survey of large language models for autonomous driving
Autonomous driving technology, a catalyst for revolutionizing transportation and urban
mobility, has the tend to transition from rule-based systems to data-driven strategies …
mobility, has the tend to transition from rule-based systems to data-driven strategies …
Traj-llm: A new exploration for empowering trajectory prediction with pre-trained large language models
Predicting the future trajectories of dynamic traffic actors is a cornerstone task in
autonomous driving. Though existing notable efforts have resulted in impressive …
autonomous driving. Though existing notable efforts have resulted in impressive …
Genfollower: Enhancing car-following prediction with large language models
X Chen, M Peng, PH Tiu, Y Wu, J Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Accurate modeling of car-following behaviors is crucial for autonomous driving systems.
While recent advancements in large language models (LLMs) have shown promise in …
While recent advancements in large language models (LLMs) have shown promise in …
XLM for Autonomous Driving Systems: A Comprehensive Review
Large Language Models (LLMs) have showcased remarkable proficiency in various
information-processing tasks. These tasks span from extracting data and summarizing …
information-processing tasks. These tasks span from extracting data and summarizing …
Explainable Traffic Flow Prediction with Large Language Models
Traffic flow prediction provides essential future views in the intelligent transportation system.
Explainable predictions offer valuable insights into the factors influencing traffic patterns …
Explainable predictions offer valuable insights into the factors influencing traffic patterns …
From ideas to ventures: building entrepreneurship knowledge with LLM, prompt engineering, and conversational agents
M Thanasi-Boçe, J Hoxha - Education and Information Technologies, 2024 - Springer
Entrepreneurship education has evolved to meet the demands of a dynamic business
environment, necessitating innovative teaching methods to prepare entrepreneurs for …
environment, necessitating innovative teaching methods to prepare entrepreneurs for …
SwapTransformer: Highway overtaking tactical planner model via imitation learning on OSHA dataset
A Shamsoshoara, SB Salih, P Aghazadeh - IEEE Access, 2024 - ieeexplore.ieee.org
This paper investigates the high-level decision-making problem in highway scenarios
regarding lane changing and over-taking other slower vehicles. In particular, this paper aims …
regarding lane changing and over-taking other slower vehicles. In particular, this paper aims …
Diffusion Models for Intelligent Transportation Systems: A Survey
Intelligent Transportation Systems (ITS) are vital in modern traffic management and
optimization, significantly enhancing traffic efficiency and safety. Recently, diffusion models …
optimization, significantly enhancing traffic efficiency and safety. Recently, diffusion models …
Trajectory-Guided Driving Behavior Prediction for Autonomous Driving
Z Zhang, Y Chang, Q Dong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Driving behavior prediction (DBP) plays an important role in autonomous driving systems.
Accurately anticipating driving behaviors of ego-vehicles, such as lane changes or left/right …
Accurately anticipating driving behaviors of ego-vehicles, such as lane changes or left/right …
Large (Vision) Language Models for Autonomous Vehicles: Current Trends and Future Directions
As autonomous vehicles (AVs) advance, the integration of Large (Vision) Language Models
(L (V) LMs) has emerged as a promising approach to enhance AV capabilities in perception …
(L (V) LMs) has emerged as a promising approach to enhance AV capabilities in perception …