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20192026
most citedDiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

39 citations · 104 across the 32 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.RO2023★ 11 cited

Towards Knowledge-driven Autonomous Driving

Xin Li, Yeqi Bai, Pinlong Cai +14

This paper explores the emerging knowledge-driven autonomous driving technologies. Our investigation highlights the limitations of current autonomous driving systems, in particular…

cs.CV2023★ 21 cited

On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving

Licheng Wen, Xuemeng Yang, Daocheng Fu +15

The pursuit of autonomous driving technology hinges on the sophisticated integration of perception, decision-making, and control systems. Traditional approaches, both data-driven a…

cs.RO2023★ 39 cited

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Licheng Wen, Daocheng Fu, Xin Li +7

Recent advancements in autonomous driving have relied on data-driven approaches, which are widely adopted but face challenges including dataset bias, overfitting, and uninterpretab…

cs.RO2023★ 2 cited

TrafficMCTS: A Closed-Loop Traffic Flow Generation Framework with Group-Based Monte Carlo Tree Search

Ze Fu, Licheng Wen, Pinlong Cai +3

Traffic flow simulation within the domain of intelligent transportation systems is garnering significant attention, and generating realistic, diverse, and human-like traffic patter…

cs.RO2023★ 12 cited

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

Daocheng Fu, Xin Li, Licheng Wen +4

In this paper, we explore the potential of using a large language model (LLM) to understand the driving environment in a human-like manner and analyze its ability to reason, interp…

cs.RO2023★ 1 cited

Human-like Decision-making at Unsignalized Intersection using Social Value Orientation

Yan Tong, Licheng Wen, Pinlong Cai +3

With the commercial application of automated vehicles (AVs), the sharing of roads between AVs and human-driven vehicles (HVs) becomes a common occurrence in the future. While resea…

cs.RO2023★ 3 cited

Bringing Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making and Planning Framework

Licheng Wen, Pinlong Cai, Daocheng Fu +2

With the development of autonomous driving, it is becoming increasingly common for autonomous vehicles (AVs) and human-driven vehicles (HVs) to travel on the same roads. Existing s…