Cover Image

Safe Driving in Occluded Environments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zhuoyuan, Jia, Tongyao, Rajborirug, Pharuj, Ramesh, Neeraj, Okuda, Hiroyuki, Suzuki, Tatsuya, Kar, Soummya, Nakahira, Yorie
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sample-Optimal Zero-Violation Safety For Continuous Control
by: Ray, Ritabrata, et al.
Published: (2024)

LVLM-MPC Collaboration for Autonomous Driving: A Safety-Aware and Task-Scalable Control Architecture
by: Atsuta, Kazuki, et al.
Published: (2025)

A Generalizable Physics-informed Learning Framework for Risk Probability Estimation
by: Wang, Zhuoyuan, et al.
Published: (2023)

Context-aware LLM-based Safe Control Against Latent Risks
by: Deng, Xiyu, et al.
Published: (2024)

Multi-Level Multi-Fidelity Methods for Path Integral and Safe Control
by: Wang, Zhuoyuan, et al.
Published: (2025)

Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems
by: Wang, Zhuoyuan, et al.
Published: (2024)

UAVGENT: A Language-Guided Distributed Control Framework
by: Zhang, Ziyi, et al.
Published: (2026)

Myopically Verifiable Probabilistic Certificates for Safe Control and Learning
by: Wang, Zhuoyuan, et al.
Published: (2024)

Online Adaptive Probabilistic Safety Certificate with Language Guidance
by: Wang, Zhuoyuan, et al.
Published: (2025)

Autonomous Drifting Based on Maximal Safety Probability Learning
by: Hoshino, Hikaru, et al.
Published: (2024)

Neural Spline Operators for Risk Quantification in Stochastic Systems
by: Wang, Zhuoyuan, et al.
Published: (2025)

Physics-Informed Deep B-Spline Networks
by: Wang, Zhuoyuan, et al.
Published: (2025)

Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction
by: Pandya, Ravi, et al.
Published: (2023)

Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics
by: Jing, Haoming, et al.
Published: (2025)

Physics-informed RL for Maximal Safety Probability Estimation
by: Hoshino, Hikaru, et al.
Published: (2024)

Physics-Informed Representation and Learning: Control and Risk Quantification
by: Wang, Zhuoyuan, et al.
Published: (2023)

Occlusion-Aware Consistent Model Predictive Control for Robot Navigation in Occluded Obstacle-Dense Environments
by: Zheng, Minzhe, et al.
Published: (2025)

Fractional Risk Analysis of Stochastic Systems with Jumps and Memory
by: Sun, Yimeng, et al.
Published: (2026)

Stabilizing Linear Systems under Partial Observability: Sample Complexity and Fundamental Limits
by: Zhang, Ziyi, et al.
Published: (2025)

Gaussian Process Implicit Surfaces as Control Barrier Functions for Safe Robot Navigation
by: Khan, Mouhyemen, et al.
Published: (2025)

Efficient and Safe Planner for Automated Driving on Ramps Considering Unsatisfication
by: Li, Qinghao, et al.
Published: (2025)

Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
by: Zhang, Ziyi, et al.
Published: (2024)

Stability Analysis of a B-Spline Deep Neural Operator for Nonlinear Systems
by: Romagnoli, Raffaele, et al.
Published: (2025)

Safe Navigation in Unmapped Environments for Robotic Systems with Input Constraints
by: Safari, Amirsaeid, et al.
Published: (2024)

Online Safety Filter for Deformable Object Manipulation with Horizon Agnostic Neural Operators
by: Li, Jiaxing, et al.
Published: (2026)

One Stack, Diverse Vehicles: Checking Safe Portability of Automated Driving Software
by: Nenchev, Vladislav
Published: (2025)

Priority-Driven Safe Model Predictive Control Approach to Autonomous Driving Applications
by: Prignoli, Francesco, et al.
Published: (2025)

SEIDM: A Safe and Efficient Intelligent Driver Model for Autonomous Driving Behavior
by: Yao, Yuyang, et al.
Published: (2026)

Autonomy Architectures for Safe Planning in Unknown Environments Under Budget Constraints
by: Cherenson, Daniel M., et al.
Published: (2025)

Egocentric Conformal Prediction for Safe and Efficient Navigation in Dynamic Cluttered Environments
by: Shin, Jaeuk, et al.
Published: (2025)

Force-Safe Environment Maps and Real-Time Detection for Soft Robot Manipulators
by: Dickson, Akua K., et al.
Published: (2025)

EAST: Environment Aware Safe Tracking using Planning and Control Co-Design
by: Li, Zhichao, et al.
Published: (2023)

When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction
by: Rahaman, Kaizer, et al.
Published: (2026)

Addressing Behavior Model Inaccuracies for Safe Motion Control in Uncertain Dynamic Environments
by: Sung, Minjun, et al.
Published: (2024)

Fast, Smooth, and Safe: Implicit Control Barrier Functions through Reach-Avoid Differential Dynamic Programming
by: Kumar, Athindran Ramesh, et al.
Published: (2023)

Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments
by: Long, Kehan, et al.
Published: (2024)

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization
by: Zheng, Lei, et al.
Published: (2024)

A Modular Architecture Design for Autonomous Driving Racing in Controlled Environments
by: Fontan-Costas, Brais, et al.
Published: (2025)

Dynamic Log-Gaussian Process Control Barrier Function for Safe Robotic Navigation in Dynamic Environments
by: Yin, Xin, et al.
Published: (2025)

Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction
by: Mirzaeedodangeh, Omid, et al.
Published: (2025)