PDF Viewer

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 (34)

[1]
Enhancing Autonomous Vehicles' Situational Awareness With Dynamic Maps: Cooperative Prediction on Edge, Cloud and Vehicle
2025Lu Tao, Yousuke Watanabe et al.
[2]
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models
2025Hsu-kuang Chiu, Ryo Hachiuma et al.
[3]
Vehicle-Road-Cloud Collaborative Perception Framework and Key Technologies: A Review
2024Bolin Gao, Jiaxi Liu et al.
[4]
Enhancing Visual Question Answering through Question-Driven Image Captions as Prompts
2024Övgü Özdemir, Erdem Akagündüz
[5]
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models
2024Mingxing Peng, Xusen Guo et al.
[6]
Holistic Autonomous Driving Understanding by Bird'View Injected Multi-Modal Large Models
2024Xinpeng Ding, Jianhua Han et al.
[7]
Prompting Large Language Models with Rationale Heuristics for Knowledge-based Visual Question Answering
2024Zhongjian Hu, Peng-Kun Yang et al.
[8]
A Survey on Multimodal Large Language Models for Autonomous Driving
2023Can Cui, Yunsheng Ma et al.
[9]
Vision Language Models in Autonomous Driving: A Survey and Outlook
2023Xingcheng Zhou, Mingyu Liu et al.
[10]
Vehicle-to-Everything Cooperative Perception for Autonomous Driving
2023Tao Huang, Jianan Liu et al.
[11]
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving
2023Long Chen, Oleg Sinavski et al.
[12]
Talk2BEV: Language-enhanced Bird’s-eye View Maps for Autonomous Driving
2023Vikrant Dewangan, Tushar Choudhary et al.
[13]
DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model
2023Zhenhua Xu, Yujia Zhang et al.
[14]
GPT-Driver: Learning to Drive with GPT
2023Jiageng Mao, Yuxi Qian et al.
[15]
Language Prompt for Autonomous Driving
2023Dongming Wu, Wencheng Han et al.
[16]
NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario
2023Tianwen Qian, Jingjing Chen et al.
[17]
Referring Multi-Object Tracking
2023Dongming Wu, Wencheng Han et al.
[18]
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
2023Runjian Chen, Yao Mu et al.
[19]
Cooperative Lidar Sensing for Pedestrian Detection: Data Association Based on Message Passing Neural Networks
2023Bernardo Camajori Tedeschini, Mattia Brambilla et al.
[20]
From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models
2022Jiaxian Guo, Junnan Li et al.

Showing 20 of 34 references

Founder's Pitch

"Talk2DM offers an advanced natural language interface to enhance vehicle-road-cloud dynamic map interaction for autonomous driving systems."

Autonomous DrivingScore: 8View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

4/4 signals

10

Series A Potential

4/4 signals

10

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: 2/12/2026

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.