Learning collision risk proactively from naturalistic driving data at scale
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Jiao, Yiru, Calvert, Simeon C., van Cranenburgh, Sander, van Lint, Hans |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
A Unified Probabilistic Approach to Traffic Conflict Detection
par: Jiao, Yiru, et autres
Publié: (2024)
par: Jiao, Yiru, et autres
Publié: (2024)
Structure-preserving contrastive learning for spatial time series
par: Jiao, Yiru, et autres
Publié: (2025)
par: Jiao, Yiru, et autres
Publié: (2025)
Driving pattern interpretation based on action phases clustering
par: Yao, Xue, et autres
Publié: (2024)
par: Yao, Xue, et autres
Publié: (2024)
Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing
par: Yao, Xue, et autres
Publié: (2024)
par: Yao, Xue, et autres
Publié: (2024)
Delphos: A reinforcement learning framework for assisting discrete choice model specification
par: Nova, Gabriel, et autres
Publié: (2025)
par: Nova, Gabriel, et autres
Publié: (2025)
An economically-consistent discrete choice model with flexible utility specification based on artificial neural networks
par: Hernandez, Jose Ignacio, et autres
Publié: (2024)
par: Hernandez, Jose Ignacio, et autres
Publié: (2024)
Decentralized Modeling of Vehicular Maneuvers and Interactions at Urban Junctions
par: Rahmani, Saeed, et autres
Publié: (2025)
par: Rahmani, Saeed, et autres
Publié: (2025)
Diffusion-based Planning with Learned Viability Filters
par: Ioannidis, Nicholas, et autres
Publié: (2025)
par: Ioannidis, Nicholas, et autres
Publié: (2025)
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer
par: Aljalbout, Elie, et autres
Publié: (2023)
par: Aljalbout, Elie, et autres
Publié: (2023)
Robotic Skill Diversification via Active Mutation of Reward Functions in Reinforcement Learning During a Liquid Pouring Task
par: van Buuren, Jannick, et autres
Publié: (2025)
par: van Buuren, Jannick, et autres
Publié: (2025)
Accelerating Real-World Overtaking in F1TENTH Racing Employing Reinforcement Learning Methods
par: Steiner, Emily, et autres
Publié: (2025)
par: Steiner, Emily, et autres
Publié: (2025)
Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance
par: Larsen, Thomas Nakken, et autres
Publié: (2024)
par: Larsen, Thomas Nakken, et autres
Publié: (2024)
Prediction Horizon Requirements for Automated Driving: Optimizing Safety, Comfort, and Efficiency
par: Sánchez, Manuel Muñoz, et autres
Publié: (2024)
par: Sánchez, Manuel Muñoz, et autres
Publié: (2024)
Built Different: Tactile Perception to Overcome Cross-Embodiment Capability Differences in Collaborative Manipulation
par: Bogert, William van den, et autres
Publié: (2024)
par: Bogert, William van den, et autres
Publié: (2024)
CubeDAgger: Interactive Imitation Learning for Dynamic Systems with Efficient yet Low-risk Interaction
par: Kobayashi, Taisuke
Publié: (2025)
par: Kobayashi, Taisuke
Publié: (2025)
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning
par: Chen, Di, et autres
Publié: (2023)
par: Chen, Di, et autres
Publié: (2023)
Automated Vehicles at Unsignalized Intersections: Safety and Efficiency Implications of Mixed Human and Automated Traffic
par: Rahmani, Saeed, et autres
Publié: (2024)
par: Rahmani, Saeed, et autres
Publié: (2024)
A Distributed Gaussian Process Model for Multi-Robot Mapping
par: Nabarro, Seth, et autres
Publié: (2026)
par: Nabarro, Seth, et autres
Publié: (2026)
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
par: Biza, Ondrej, et autres
Publié: (2024)
par: Biza, Ondrej, et autres
Publié: (2024)
Adaptive Time Budgets for Safe and Comfortable Vehicle Control Transition in Conditionally Automated Driving
par: Liang, Kexin, et autres
Publié: (2025)
par: Liang, Kexin, et autres
Publié: (2025)
Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Performance
par: Liang, Kexin, et autres
Publié: (2025)
par: Liang, Kexin, et autres
Publié: (2025)
Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success
par: Wang, Che, et autres
Publié: (2025)
par: Wang, Che, et autres
Publié: (2025)
Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning
par: Huebotter, Justus, et autres
Publié: (2025)
par: Huebotter, Justus, et autres
Publié: (2025)
FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
par: Alles, Marvin, et autres
Publié: (2025)
par: Alles, Marvin, et autres
Publié: (2025)
Vision based driving agent for race car simulation environments
par: Bári, Gergely, et autres
Publié: (2025)
par: Bári, Gergely, et autres
Publié: (2025)
Simulation-based reinforcement learning for real-world autonomous driving
par: Osiński, Błażej, et autres
Publié: (2019)
par: Osiński, Błażej, et autres
Publié: (2019)
LIMT: Language-Informed Multi-Task Visual World Models
par: Aljalbout, Elie, et autres
Publié: (2024)
par: Aljalbout, Elie, et autres
Publié: (2024)
EAGERx: Graph-Based Framework for Sim2real Robot Learning
par: van der Heijden, Bas, et autres
Publié: (2024)
par: van der Heijden, Bas, et autres
Publié: (2024)
Human-compatible driving partners through data-regularized self-play reinforcement learning
par: Cornelisse, Daphne, et autres
Publié: (2024)
par: Cornelisse, Daphne, et autres
Publié: (2024)
Therapist-Robot-Patient Physical Interaction is Worth a Thousand Words: Enabling Intuitive Therapist Guidance via Remote Haptic Control
par: Luciani, Beatrice, et autres
Publié: (2026)
par: Luciani, Beatrice, et autres
Publié: (2026)
Guided Decoding for Robot On-line Motion Generation and Adaption
par: Chen, Nutan, et autres
Publié: (2024)
par: Chen, Nutan, et autres
Publié: (2024)
Data extraction and processing methods to aid the study of driving behaviors at intersections in naturalistic driving
par: Pundlik, Shrinivas, et autres
Publié: (2025)
par: Pundlik, Shrinivas, et autres
Publié: (2025)
Automatic AI controller that can drive with confidence: steering vehicle with uncertainty knowledge
par: Kumari, Neha, et autres
Publié: (2024)
par: Kumari, Neha, et autres
Publié: (2024)
Explainable deep learning improves human mental models of self-driving cars
par: Kenny, Eoin M., et autres
Publié: (2024)
par: Kenny, Eoin M., et autres
Publié: (2024)
Investigating Robotaxi Crash Severity with Geographical Random Forest and the Urban Environment
par: Jiao, Junfeng, et autres
Publié: (2025)
par: Jiao, Junfeng, et autres
Publié: (2025)
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling
par: Jiao, Ruochen, et autres
Publié: (2023)
par: Jiao, Ruochen, et autres
Publié: (2023)
Learning secondary tool affordances of human partners using iCub robot's egocentric data
par: Ding, Bosong, et autres
Publié: (2024)
par: Ding, Bosong, et autres
Publié: (2024)
Data Augmentation for Instruction Following Policies via Trajectory Segmentation
par: Höpner, Niklas, et autres
Publié: (2025)
par: Höpner, Niklas, et autres
Publié: (2025)
Towards Generalist Robot Learning from Internet Video: A Survey
par: McCarthy, Robert, et autres
Publié: (2024)
par: McCarthy, Robert, et autres
Publié: (2024)
Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation
par: Wang, Yuchun, et autres
Publié: (2024)
par: Wang, Yuchun, et autres
Publié: (2024)
Documents similaires
-
A Unified Probabilistic Approach to Traffic Conflict Detection
par: Jiao, Yiru, et autres
Publié: (2024) -
Structure-preserving contrastive learning for spatial time series
par: Jiao, Yiru, et autres
Publié: (2025) -
Driving pattern interpretation based on action phases clustering
par: Yao, Xue, et autres
Publié: (2024) -
Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing
par: Yao, Xue, et autres
Publié: (2024) -
Delphos: A reinforcement learning framework for assisting discrete choice model specification
par: Nova, Gabriel, et autres
Publié: (2025)