Cover Image

Leveraging Large Language Models for Enhancing Autonomous Vehicle Perception

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Karagounis, Athanasios
Format:	Preprint
Published:	2024
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Model-assisted Autonomous Vehicle Recovery from Immobilization
by: Bao, Zhipeng, et al.
Published: (2025)

Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model
by: Lu, Qiujing, et al.
Published: (2024)

Leveraging Foundation Models for Enhancing Robot Perception and Action
by: Mirjalili, Reihaneh
Published: (2025)

Efficient Visualization of Neural Networks with Generative Models and Adversarial Perturbations
by: Karagounis, Athanasios
Published: (2024)

Evaluating Roadside Perception for Autonomous Vehicles: Insights from Field Testing
by: Zhang, Rusheng, et al.
Published: (2024)

Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles
by: Lu, Qiujing, et al.
Published: (2024)

Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models
by: Baumann, Nicolas, et al.
Published: (2025)

Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation
by: Tian, Hanlin, et al.
Published: (2024)

AppleVLM: End-to-end Autonomous Driving with Advanced Perception and Planning-Enhanced Vision-Language Models
by: Han, Yuxuan, et al.
Published: (2026)

Evaluation of Large Language Models for Anomaly Detection in Autonomous Vehicles
by: Loukas, Petros, et al.
Published: (2025)

Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language Models
by: Fernández-Becerra, Laura, et al.
Published: (2024)

Vehicle Dynamics Embedded World Models for Autonomous Driving
by: Li, Huiqian, et al.
Published: (2025)

On-Policy Distillation of Language Models for Autonomous Vehicle Motion Planning
by: Afsharrad, Amirhossein, et al.
Published: (2026)

Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles
by: Tang, Zuoyin, et al.
Published: (2024)

Redefining Safety for Autonomous Vehicles
by: Koopman, Philip, et al.
Published: (2024)

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models
by: Zhou, Zhiyuan, et al.
Published: (2024)

Enhancing Predictability of Multi-Tenant DNN Inference for Autonomous Vehicles' Perception
by: Liu, Liangkai, et al.
Published: (2026)

On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation
by: Cui, Can, et al.
Published: (2024)

Large Language Models for Human-like Autonomous Driving: A Survey
by: Li, Yun, et al.
Published: (2024)

Motion Forecasting for Autonomous Vehicles: A Survey
by: Shi, Jianxin, et al.
Published: (2025)

PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles
by: Piazzoni, Andrea, et al.
Published: (2023)

Energy-efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles
by: Ding, Fan, et al.
Published: (2024)

Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models
by: Chen, Jiao, et al.
Published: (2024)

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance
by: Yang, Fengze, et al.
Published: (2025)

PLM-Net: Perception Latency Mitigation Network for Vision-Based Lateral Control of Autonomous Vehicles
by: Khalil, Aws, et al.
Published: (2024)

When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We?
by: Guo, An, et al.
Published: (2025)

Comprehensive Autonomous Vehicle Optimal Routing With Dynamic Heuristics
by: V, Ragav, et al.
Published: (2024)

Interaction Dataset of Autonomous Vehicles with Traffic Lights and Signs
by: Li, Zheng, et al.
Published: (2025)

Autonomous Vehicle Path Planning by Searching With Differentiable Simulation
by: Nachkov, Asen, et al.
Published: (2025)

Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead
by: Manchingal, Shireen Kudukkil, et al.
Published: (2025)

Characteristics Analysis of Autonomous Vehicle Pre-crash Scenarios
by: Li, Yixuan, et al.
Published: (2025)

Towards Trustworthy and Explainable AI for Perception Models: From Concept to Prototype Vehicle Deployment
by: Beemelmanns, Till, et al.
Published: (2026)

Understanding Physical Properties of Unseen Deformable Objects by Leveraging Large Language Models and Robot Actions
by: Park, Changmin, et al.
Published: (2025)

Leveraging Pre-trained Large Language Models with Refined Prompting for Online Task and Motion Planning
by: Guo, Huihui, et al.
Published: (2025)

ARO: Large Language Model Supervised Robotics Text2Skill Autonomous Learning
by: Chen, Yiwen, et al.
Published: (2024)

Autonomous Vehicle Controllers From End-to-End Differentiable Simulation
by: Nachkov, Asen, et al.
Published: (2024)

Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections
by: Attard, Daniel, et al.
Published: (2024)

Pedestrian-Aware LLM-Driven Behavioral Planning for Autonomous Vehicles
by: Baimbetova, Aidana, et al.
Published: (2026)

SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles
by: Liao, Haicheng, et al.
Published: (2025)

Robust Planning for Autonomous Vehicles with Diffusion-Based Failure Samplers
by: Wang, Juanran, et al.
Published: (2025)