Cover Image

Boundary-Guided Trajectory Prediction for Road Aware and Physically Feasible Autonomous Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abouelazm, Ahmed, Liu, Mianzhi, Hubschneider, Christian, Wu, Yin, Slieter, Daniel, Zöllner, J. Marius
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility
by: Baden, Marius, et al.
Published: (2025)

Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2025)

Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2026)

Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
by: Abouelazm, Ahmed, et al.
Published: (2025)

LanePerf: a Performance Estimation Framework for Lane Detection
by: Wu, Yin, et al.
Published: (2025)

A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2024)

Uncertainty-Aware and Temporally Regulated Expert Advice in Reinforcement Learning for Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2026)

Why Braking? Scenario Extraction and Reasoning Utilizing LLM
by: Wu, Yin, et al.
Published: (2025)

KI-PMF: Knowledge Integrated Plausible Motion Forecasting
by: Vivekanandan, Abhishek, et al.
Published: (2023)

Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving
by: Bogdoll, Daniel, et al.
Published: (2023)

Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL
by: Abouelazm, Ahmed, et al.
Published: (2025)

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey
by: Dai, Wei, et al.
Published: (2025)

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

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving
by: Liao, Haicheng, et al.
Published: (2024)

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction
by: Li, Haoming
Published: (2024)

SimpleVSF: VLM-Scoring Fusion for Trajectory Prediction of End-to-End Autonomous Driving
by: Zheng, Peiru, et al.
Published: (2025)

Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
by: Liao, Haicheng, et al.
Published: (2025)

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction
by: Wang, Bonan, et al.
Published: (2025)

MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving
by: Liao, Haicheng, et al.
Published: (2024)

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction
by: Liao, Haicheng, et al.
Published: (2024)

Towards Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach
by: Liao, Haicheng, 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)

Conditional Unscented Autoencoders for Trajectory Prediction
by: Janjoš, Faris, et al.
Published: (2023)

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving
by: Tumu, Akshar, et al.
Published: (2025)

Residual Chain Prediction for Autonomous Driving Path Planning
by: Zhou, Liguo, et al.
Published: (2024)

DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving
by: Xu, Yinda, et al.
Published: (2023)

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
by: Xu, Chengkai, et al.
Published: (2025)

Kinematics-Aware Latent World Models for Data-Efficient Autonomous Driving
by: Li, Jiazhuo, et al.
Published: (2026)

Label-Free Model Failure Detection for Lidar-based Point Cloud Segmentation
by: Bogdoll, Daniel, et al.
Published: (2024)

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

VLM-SAFE: Vision-Language Model-Guided Safety-Aware Reinforcement Learning with World Models for Autonomous Driving
by: Qu, Yansong, et al.
Published: (2025)

Anomaly Detection in Autonomous Driving: A Survey
by: Bogdoll, Daniel, et al.
Published: (2022)

Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving
by: Wu, Sihao, et al.
Published: (2024)

Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
by: Xin, Guipeng, et al.
Published: (2024)

CauTraj: A Causal-Knowledge-Guided Framework for Lane-Changing Trajectory Planning of Autonomous Vehicles
by: Lei, Cailin, et al.
Published: (2025)

Efficient Fusion and Task Guided Embedding for End-to-end Autonomous Driving
by: Guo, Yipin, et al.
Published: (2024)

Boundary State Generation for Testing and Improvement of Autonomous Driving Systems
by: Biagiola, Matteo, et al.
Published: (2023)

Nav-EE: Navigation-Guided Early Exiting for Efficient Vision-Language Models in Autonomous Driving
by: Hu, Haibo, et al.
Published: (2025)

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization
by: Grimm, Daniel, et al.
Published: (2025)

Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
by: Madjid, Nadya Abdel, et al.
Published: (2025)