Cover Image

Investigating Robotaxi Crash Severity with Geographical Random Forest and the Urban Environment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiao, Junfeng, Baik, Seung Gyu, Choi, Seung Jun, Xu, Yiming
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
by: Lee, Sang-Hyun, et al.
Published: (2023)

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
by: Choi, Jinwoo, et al.
Published: (2025)

Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge
by: Lee, Sang-Hyun, et al.
Published: (2023)

Anatomy of a Robotaxi Crash: Lessons from the Cruise Pedestrian Dragging Mishap
by: Koopman, Philip
Published: (2024)

Robot Crash Course: Learning Soft and Stylized Falling
by: Strauch, Pascal, et al.
Published: (2025)

Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention
by: Lee, Sang-Hyun, et al.
Published: (2024)

Learning-based Autonomous Oversteer Control and Collision Avoidance
by: Lee, Seokjun, et al.
Published: (2025)

DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy
by: Kumar, Sandip Sharan Senthil, et al.
Published: (2025)

Don't Freeze, Don't Crash: Extending the Safe Operating Range of Neural Navigation in Dense Crowds
by: Zhang, Jiefu, et al.
Published: (2026)

Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding
by: Haritz, Pierre, et al.
Published: (2024)

DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
by: Yoo, Se-Wook, et al.
Published: (2025)

Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments
by: Chang, Junwoo, et al.
Published: (2025)

RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes
by: Stachowicz, Kyle, et al.
Published: (2024)

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

Corner-Grasp: Multi-Action Grasp Detection and Active Gripper Adaptation for Grasping in Cluttered Environments
by: Son, Yeong Gwang, et al.
Published: (2025)

Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments
by: Couto, Gustavo Claudio Karl, et al.
Published: (2023)

Evaluating Retrieval-Augmented Generation Strategies for Large Language Models in Travel Mode Choice Prediction
by: Xu, Yiming, et al.
Published: (2025)

Lessons from the Cruise Robotaxi Pedestrian Dragging Mishap
by: Koopman, Philip
Published: (2024)

Near-Driven Autonomous Rover Navigation in Complex Environments: Extensions to Urban Search-and-Rescue and Industrial Inspection
by: Shrestha, Dhadkan, et al.
Published: (2025)

Neural reservoir control of a soft bio-hybrid arm
by: Naughton, Noel, et al.
Published: (2025)

Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving
by: Villaflor, Adam, et al.
Published: (2024)

Think Small, Plan Smart: Minimalist Symbolic Abstraction and Heuristic Subspace Search for LLM-Guided Task Planning
by: Tang, Junfeng, et al.
Published: (2025)

BOIL: Learning Environment Personalized Information
by: Patil, Rohan, et al.
Published: (2026)

Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning
by: Chen, Jiayu, et al.
Published: (2024)

Statistical Guarantees for Offline Domain Randomization
by: Fickinger, Arnaud, et al.
Published: (2025)

Domain Randomization via Entropy Maximization
by: Tiboni, Gabriele, et al.
Published: (2023)

Habilis-$β$: A Fast-Motion and Long-Lasting On-Device Vision-Language-Action Model
by: Robotics, Tommoro, et al.
Published: (2026)

Transfer Learning for Customized Car Racing Environments
by: Arockiaraj, Benedict Florance, et al.
Published: (2026)

Dynamic Objects Relocalization in Changing Environments with Flow Matching
by: Argenziano, Francesco, et al.
Published: (2025)

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization
by: Bohlinger, Nico, et al.
Published: (2025)

Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments
by: Dcruz, Julian Gerald, et al.
Published: (2024)

A User-driven Design Framework for Robotaxi
by: Deng, Yue, et al.
Published: (2026)

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation
by: Wang, Tianyi, et al.
Published: (2026)

Investigating Sensors and Methods in Grasp State Classification in Agricultural Manipulation
by: Walt, Benjamin, et al.
Published: (2025)

RoboArm-NMP: a Learning Environment for Neural Motion Planning
by: Jurgenson, Tom, et al.
Published: (2024)

TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments
by: Hossain, Jumman, et al.
Published: (2024)

Learning Bipedal Walking for Humanoid Robots in Challenging Environments with Obstacle Avoidance
by: Hamze, Marwan, et al.
Published: (2024)

Data-driven Probabilistic Trajectory Learning with High Temporal Resolution in Terminal Airspace
by: Xiang, Jun, et al.
Published: (2024)

Investigating Lagrangian Neural Networks for Infinite Horizon Planning in Quadrupedal Locomotion
by: Kotecha, Prakrut, et al.
Published: (2025)

Investigating Active Sampling for Hardness Classification with Vision-Based Tactile Sensors
by: Chen, Junyi, et al.
Published: (2025)