Cover Image

FlowDrive: moderated flow matching with data balancing for trajectory planning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Lingguang, Taş, Ömer Şahin, Steiner, Marlon, Stiller, Christoph
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Safety Reinforced Model Predictive Control (SRMPC): Improving MPC with Reinforcement Learning for Motion Planning in Autonomous Driving
by: Fischer, Johannes, et al.
Published: (2025)

Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories
by: Jiang, Sunshine, et al.
Published: (2025)

FlowDrive: Energy Flow Field for End-to-End Autonomous Driving
by: Jiang, Hao, et al.
Published: (2025)

Prediction-Driven Motion Planning: Route Integration Strategies in Attention-Based Prediction Models
by: Steiner, Marlon, et al.
Published: (2025)

Mosaic: An Extensible Framework for Composing Rule-Based and Learned Motion Planners
by: Large, Nick Le, et al.
Published: (2026)

RetroMotion: Retrocausal Motion Forecasting Models are Instructable
by: Wagner, Royden, et al.
Published: (2025)

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models
by: Peng, Zengqi, et al.
Published: (2025)

LatentTrack: Sequential Weight Generation via Latent Filtering
by: Haq, Omer
Published: (2026)

Conditional Flow Matching for Continuous Anomaly Detection in Autonomous Driving on a Manifold-Aware Spectral Space
by: Guillen-Perez, Antonio
Published: (2026)

Interactive incremental learning of generalizable skills with local trajectory modulation
by: Knauer, Markus, et al.
Published: (2024)

Decision-theoretic MPC: Motion Planning with Weighted Maneuver Preferences Under Uncertainty
by: Taş, Ömer Şahin, et al.
Published: (2023)

Dynamic planning in hierarchical active inference
by: Priorelli, Matteo, et al.
Published: (2024)

Improving planning and MBRL with temporally-extended actions
by: Chatterjee, Palash, et al.
Published: (2025)

From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving
by: Konstantinidis, Fabian, et al.
Published: (2025)

NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving
by: Kim, Donghyun, et al.
Published: (2024)

Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation
by: Wang, Yuchun, et al.
Published: (2024)

Value-guided action planning with JEPA world models
by: Destrade, Matthieu, et al.
Published: (2025)

CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving
by: Wang, Jingyi, et al.
Published: (2025)

Fusing Driver Perceived and Physical Risk for Safety Critical Scenario Screening in Autonomous Driving
by: Xiong, Chen, et al.
Published: (2026)

Driving Through Uncertainty: Risk-Averse Control with LLM Commonsense for Autonomous Driving under Perception Deficits
by: Hu, Yuting, et al.
Published: (2025)

Learning to Drive by Imitating Surrounding Vehicles
by: Sonmez, Yasin, et al.
Published: (2025)

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
by: Wang, Chengyue, et al.
Published: (2024)

From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
by: Li, Yueyuan, et al.
Published: (2024)

Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces
by: Du, Jiayuan, et al.
Published: (2026)

World Models for Autonomous Driving: An Initial Survey
by: Guan, Yanchen, et al.
Published: (2024)

Using large language models for embodied planning introduces systematic safety risks
by: Zhang, Tao, et al.
Published: (2026)

BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
by: Zhou, Zikang, et al.
Published: (2024)

Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving
by: Anvar, Timur, et al.
Published: (2025)

Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
by: Zheng, Yinan, et al.
Published: (2025)

Hybrid Imitation-Learning Motion Planner for Urban Driving
by: Gariboldi, Cristian, et al.
Published: (2024)

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2025)

RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving
by: Bosio, Carlo, et al.
Published: (2025)

V-Max: A Reinforcement Learning Framework for Autonomous Driving
by: Charraut, Valentin, et al.
Published: (2025)

Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)

Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving
by: Zheng, Yinan, et al.
Published: (2026)

Continual Driving Policy Optimization with Closed-Loop Individualized Curricula
by: Niu, Haoyi, et al.
Published: (2023)

LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
by: Diehl, Christopher, et al.
Published: (2024)

WarmPrior: Straightening Flow-Matching Policies with Temporal Priors
by: Kang, Sinjae, et al.
Published: (2026)

DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models
by: Zhang, Shenyu, et al.
Published: (2025)

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
by: Abdelhamid, M. Youssef, et al.
Published: (2025)