Autonomous Vehicles
RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning
·2823 words·14 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Autonomous Vehicles
🏢 Huazhong University of Science & Technology
RAD: 3DGS-based RL advances autonomous driving, achieving a 3x lower collision rate!
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models
·6984 words·33 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Autonomous Vehicles
🏢 NVIDIA
V2V-LLM leverages multi-modal LLMs for safer cooperative autonomous driving by fusing perception data from multiple vehicles, answering driving-related questions, and improving trajectory planning.
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
·2924 words·14 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Autonomous Vehicles
🏢 Institute of Artificial Intelligence, Huazhong University of Science and Technology
DiffusionDrive: a novel truncated diffusion model achieves real-time, high-quality end-to-end autonomous driving by leveraging multi-mode action distributions and significantly reducing computational …
Hermes: A Large Language Model Framework on the Journey to Autonomous Networks
·1636 words·8 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Autonomous Vehicles
🏢 Paris Research Center, Huawei Technologies
Hermes, a novel LLM-based framework, automates cellular network modeling by generating explainable ‘blueprints’ for constructing Network Digital Twins (NDTs), paving the way for fully autonomous netwo…