Cover Image

Tackling Snow-Induced Challenges: Safe Autonomous Lane-Keeping with Robust Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Aghdasian, Amin Jalal, Abdollahi, Farzaneh, Iglie, Ali Kamali
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BLIP-FusePPO: A Vision-Language Deep Reinforcement Learning Framework for Lane Keeping in Autonomous Vehicles
by: Miangoleh, Seyed Ahmad Hosseini, et al.
Published: (2025)

IRL-DAL: Safe and Adaptive Trajectory Planning for Autonomous Driving via Energy-Guided Diffusion Models
by: Miangoleh, Seyed Ahmad Hosseini, et al.
Published: (2026)

VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024)

DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
by: Huang, Zilin, et al.
Published: (2026)

Reinforcement Learning-Based Monocular Vision Approach for Autonomous UAV Landing
by: Houichime, Tarik, et al.
Published: (2025)

CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models
by: Sheng, Zihao, et al.
Published: (2025)

Advancing Autonomous Vehicle Intelligence: Deep Learning and Multimodal LLM for Traffic Sign Recognition and Robust Lane Detection
by: Sah, Chandan Kumar, et al.
Published: (2025)

WAM-Diff: A Masked Diffusion VLA Framework with MoE and Online Reinforcement Learning for Autonomous Driving
by: Xu, Mingwang, et al.
Published: (2025)

SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling
by: You, Junwei, et al.
Published: (2025)

Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)
by: Yang, Zhenjie, et al.
Published: (2025)

AIC MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation
by: Xiong, Chuyan, et al.
Published: (2024)

Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology
by: Lei, Han, et al.
Published: (2024)

HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
by: Tomilin, Tristan, et al.
Published: (2025)

Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving
by: Huang, Zilin, et al.
Published: (2026)

Work Zones challenge VLM Trajectory Planning: Toward Mitigation and Robust Autonomous Driving
by: Liao, Yifan, et al.
Published: (2025)

MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning
by: Chen, Guangli, et al.
Published: (2026)

DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle
by: Natan, Oskar, et al.
Published: (2023)

End-to-end Autonomous Driving: Challenges and Frontiers
by: Chen, Li, et al.
Published: (2023)

DepthVision: Enabling Robust Vision-Language Models with GAN-Based LiDAR-to-RGB Synthesis for Autonomous Driving
by: Kirchner, Sven, et al.
Published: (2025)

Autonomous Embodied Agents: When Robotics Meets Deep Learning Reasoning
by: Bigazzi, Roberto
Published: (2025)

DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving
by: Dagdanov, Resul, et al.
Published: (2022)

Equivariant Reinforcement Learning under Partial Observability
by: Nguyen, Hai, et al.
Published: (2024)

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
by: Lu, Han, et al.
Published: (2024)

Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
by: Mei, Jianbiao, et al.
Published: (2024)

Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning
by: Yuan, Zhecheng, et al.
Published: (2024)

Quadrotor Navigation using Reinforcement Learning with Privileged Information
by: Lee, Jonathan, et al.
Published: (2025)

S$^3$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving
by: Wu, Zhiyuan, et al.
Published: (2024)

Lane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained Iterative LQR
by: Lee, Der-Hau
Published: (2023)

Dynamic Open Vocabulary Enhanced Safe-landing with Intelligence (DOVESEI)
by: Bong, Haechan Mark, et al.
Published: (2023)

Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
by: Gupta, Gunshi, et al.
Published: (2025)

RoboSafe: Safeguarding Embodied Agents via Executable Safety Logic
by: Wang, Le, et al.
Published: (2025)

Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lots
by: Luo, JiaQi
Published: (2024)

Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts
by: Wang, Yun, et al.
Published: (2025)

VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning
by: Kang, Li, et al.
Published: (2025)

Synchronous vs Asynchronous Reinforcement Learning in a Real World Robot
by: Parsaee, Ali, et al.
Published: (2025)

What Matters for Scalable and Robust Learning in End-to-End Driving Planners?
by: Holtz, David, et al.
Published: (2026)

TopoSD: Topology-Enhanced Lane Segment Perception with SDMap Prior
by: Yang, Sen, et al.
Published: (2024)

Data Shift of Object Detection in Autonomous Driving
by: Xu, Lida
Published: (2025)

VERDI: VLM-Embedded Reasoning for Autonomous Driving
by: Feng, Bowen, et al.
Published: (2025)

Generative AI for Autonomous Driving: A Review
by: Winter, Katharina, et al.
Published: (2025)