The paper surveys EV charging literature through a Planning-Scheduling-Behavior framework and diagnoses a fidelity-tractability trilemma in cross-layer integration.
Conformal Prediction of Motion Control Performance for an Automated Vehicle in Presence of Actuator Degradations and Failures
9 Pith papers cite this work, alongside 81 external citations. Polarity classification is still indexing.
9
Pith papers citing it
81
external citations · external index
citation-role summary
background 1
baseline 1
citation-polarity summary
years
2026 9representative citing papers
BATON is a 127-driver, 136.6-hour naturalistic dataset of both manual-to-automation handovers and automation-to-manual takeovers, and its baselines show multimodal fusion beats video-only for predicting them.
Response maps from game theory are used to model and differentiate human driver acceleration behaviors in response to yielding, non-yielding, and responsive AV actions based on simulator experiments.
SpaCE derives four theoretical results on spatial capacity, sample complexity, generalization, and bias-variance trade-offs for multi-frame MLLM reasoning, validated on MultiSPA, CA-VQA, and SpatialRGPT.
Relative pose is recovered by relational inference on epipolar graphs of LoFTR matches, claiming better robustness to dense noise and large baselines than RANSAC-style methods.
BEVPredFormer uses attention-based temporal processing and 3D camera projection to match or exceed prior methods on nuScenes for BEV instance prediction.
xDECAF is an extensible, open-source framework for architecture-based data flow analysis with a constraint DSL, web editor, and a catalog of 26 example models for information security.
Applies conformalized quantile regression with equalized coverage to predict motion control performance in automated vehicles under nominal, degraded, and failed actuator conditions.
UrbanClipAtlas integrates RAG, taxonomy-aware extraction, and video grounding into a chat interface for retrieving and interpreting events in long urban videos from street intersections.
citing papers explorer
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Planning, Scheduling, and Behavior in EV Charging Systems: A Critical Survey and Trilemma Framework
The paper surveys EV charging literature through a Planning-Scheduling-Behavior framework and diagnoses a fidelity-tractability trilemma in cross-layer integration.
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BATON: A Multimodal Benchmark for Bidirectional Automation Transition Observation in Naturalistic Driving
BATON is a 127-driver, 136.6-hour naturalistic dataset of both manual-to-automation handovers and automation-to-manual takeovers, and its baselines show multimodal fusion beats video-only for predicting them.
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Characterizing Driver Interactions with Autonomous Vehicles via Response Maps
Response maps from game theory are used to model and differentiate human driver acceleration behaviors in response to yielding, non-yielding, and responsive AV actions based on simulator experiments.
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SpaCE: Rethinking Spatial Capacity and Generalization in Multi-Frame Multimodal Large Language Models
SpaCE derives four theoretical results on spatial capacity, sample complexity, generalization, and bias-variance trade-offs for multi-frame MLLM reasoning, validated on MultiSPA, CA-VQA, and SpatialRGPT.
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Relational Epipolar Graphs for Robust Relative Camera Pose Estimation
Relative pose is recovered by relational inference on epipolar graphs of LoFTR matches, claiming better robustness to dense noise and large baselines than RANSAC-style methods.
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BEVPredFormer: Spatio-temporal Attention for BEV Instance Prediction in Autonomous Driving
BEVPredFormer uses attention-based temporal processing and 3D camera projection to match or exceed prior methods on nuScenes for BEV instance prediction.
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xDECAF: An Extensible Data Flow Diagram Analysis Framework for Information Security
xDECAF is an extensible, open-source framework for architecture-based data flow analysis with a constraint DSL, web editor, and a catalog of 26 example models for information security.
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Equalized Coverage in Motion Control Performance Prediction for Self-Adaptive Road Vehicles
Applies conformalized quantile regression with equalized coverage to predict motion control performance in automated vehicles under nominal, degraded, and failed actuator conditions.
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UrbanClipAtlas: A Visual Analytics Framework for Event and Scene Retrieval in Urban Videos
UrbanClipAtlas integrates RAG, taxonomy-aware extraction, and video grounding into a chat interface for retrieving and interpreting events in long urban videos from street intersections.