:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Geng, Longling, Li, Huangxing, Naess, Viktor Lado, Pilanci, Mert
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2508.04066
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SVBRD-LLM: Self-Verifying Behavioral Rule Discovery for Autonomous Vehicle Identification
by: Li, Xiangyu, et al.
Published: (2025)

Persistent Autoregressive Mapping with Traffic Rules for Autonomous Driving
by: Liang, Shiyi, et al.
Published: (2025)

A Rule-Based Behaviour Planner for Autonomous Driving
by: Frederic, Bouchard, et al.
Published: (2024)

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving
by: Li, Jingzheng, et al.
Published: (2025)

CarPLAN: Context-Adaptive and Robust Planning with Dynamic Scene Awareness for Autonomous Driving
by: Yun, Junyong, et al.
Published: (2026)

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

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

LSRE: Latent Semantic Rule Encoding for Real-Time Semantic Risk Detection in Autonomous Driving
by: Cheng, Qian, et al.
Published: (2025)

DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language Models
by: Song, Jingyu, et al.
Published: (2025)

Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving
by: Deng, Nanshan, et al.
Published: (2025)

Boundary-Guided Trajectory Prediction for Road Aware and Physically Feasible Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2025)

REALM-Bench: A Benchmark for Evaluating Multi-Agent Systems on Real-world, Dynamic Planning and Scheduling Tasks
by: Geng, Longling, 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)

Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
by: Tang, Chen, et al.
Published: (2021)

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024)

Temporally Decoupled Diffusion Planning for Autonomous Driving
by: Li, Xiang, et al.
Published: (2026)

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling
by: Moon, Seokha, et al.
Published: (2026)

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

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

ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning
by: Chang, Edward Y., et al.
Published: (2025)

Is Your VLM for Autonomous Driving Safety-Ready? A Comprehensive Benchmark for Evaluating External and In-Cabin Risks
by: Meng, Xianhui, et al.
Published: (2025)

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

ScenicRules: An Autonomous Driving Benchmark with Multi-Objective Specifications and Abstract Scenarios
by: Chang, Kevin Kai-Chun, et al.
Published: (2026)

From Complexity to Clarity: Analytical Expressions of Deep Neural Network Weights via Clifford's Geometric Algebra and Convexity
by: Pilanci, Mert
Published: (2023)

RAD-LAD: Rule and Language Grounded Autonomous Driving in Real-Time
by: Ghosh, Anurag, et al.
Published: (2026)

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

Integrating Legal and Logical Specifications in Perception, Prediction, and Planning for Automated Driving: A Survey of Methods
by: Manas, Kumar, et al.
Published: (2025)

A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing
by: Cao, Shengfan, et al.
Published: (2025)

Autonomous Driving Small-Scale Cars: A Survey of Recent Development
by: Li, Dianzhao, et al.
Published: (2024)

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

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

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

LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving
by: Qiao, Zhijie, et al.
Published: (2025)

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

Hi-Drive: Hierarchical POMDP Planning for Safe Autonomous Driving in Diverse Urban Environments
by: Jin, Xuanjin, et al.
Published: (2024)

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

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

Getting SMARTER for Motion Planning in Autonomous Driving Systems
by: Alban, Montgomery, et al.
Published: (2025)

Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving
by: Kujanpää, Kalle, et al.
Published: (2025)

Diffusion Models for Safety Validation of Autonomous Driving Systems
by: Wang, Juanran, et al.
Published: (2025)