View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (24)

[1]
Methodology and Benchmark for Automated Driving Theory Test of Large Language Models
2025Dashuai Pei, Yiwen Wu et al.
[2]
Bench2ADVLM: A Closed-Loop Benchmark for Vision-language Models in Autonomous Driving
2025Tianyuan Zhang, Ting Jin et al.
[3]
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework
2025Yu Yao, S. Bhatnagar et al.
[4]
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
2025Yuan Gao, Mattia Piccinini et al.
[5]
AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions
2025Zhaoyang Wei, Chenhui Qiang et al.
[6]
STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving
2025Christian Fruhwirth-Reisinger, Duvsan Mali'c et al.
[7]
Advancing Autonomous Vehicle Intelligence: Deep Learning and Multimodal LLM for Traffic Sign Recognition and Robust Lane Detection
2025Chandan Kumar Sah, Ankit Kumar Shaw et al.
[8]
Benchmarking Large Language Models for Motorway Driving Scenario Understanding
2025Ji Zhou, Yongqi Zhao et al.
[9]
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models
2025Hsu-kuang Chiu, Ryo Hachiuma et al.
[10]
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
2025Shaoyuan Xie, Lingdong Kong et al.
[11]
Are Requirements Really All You Need? Using LLMs to Generate Configuration Code: A Case Study in Automotive Simulations
2025Krzysztof Lebioda, Nenad Petrovic et al.
[12]
Test Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles
2024Zuoyin Tang, Jianhua He et al.
[13]
Large Language Model as Parking Planning Agent in the Context of Mixed Period of Autonomous Vehicles and Human-Driven Vehicles
2024Yuping Jin, Jun Ma
[14]
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding
2024Xu Cao, Tongxi Zhou et al.
[15]
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences
2024Yidong Huang, Jacob Sansom et al.
[16]
A Superalignment Framework in Autonomous Driving with Large Language Models
2024Xiangrui Kong, Thomas Bräunl et al.
[17]
Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?
2024Yifan Bai, Dongming Wu et al.
[18]
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM
2024Tianhui Cai, Yifan Liu et al.
[19]
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
2023Yunsheng Ma, Can Cui et al.
[20]
A Survey on Multimodal Large Language Models for Autonomous Driving
2023Can Cui, Yunsheng Ma et al.

Showing 20 of 24 references

Founder's Pitch

"AgentDrive offers a comprehensive benchmark dataset for developing and testing reasoning-driven autonomous agents with LLM-generated driving scenarios."

AI BenchmarkingScore: 7View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

4/4 signals

10

Series A Potential

2/4 signals

5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 1/23/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.