Probability Estimation for Predicted-Occupancy Grids in Vehicle Safety Applications Based on Machine Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Nadarajan, Parthasarathy, Botsch, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic
by: Nadarajan, Parthasarathy, et al.
Published: (2025)
by: Nadarajan, Parthasarathy, et al.
Published: (2025)
Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm
by: Nadarajan, Parthasarathy, et al.
Published: (2025)
by: Nadarajan, Parthasarathy, et al.
Published: (2025)
Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction
by: Fertig, Alexander, et al.
Published: (2025)
by: Fertig, Alexander, et al.
Published: (2025)
Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation
by: Kalyanasundaram, Abinav, et al.
Published: (2025)
by: Kalyanasundaram, Abinav, et al.
Published: (2025)
Automatic Piecewise Linear Regression for Predicting Student Learning Satisfaction
by: Choi, Haemin, et al.
Published: (2025)
by: Choi, Haemin, et al.
Published: (2025)
Comparative Analysis of Polygon-Based and Global Machine Learning Models for Bus Occupancy Prediction
by: Azenkot, Daniel, et al.
Published: (2026)
by: Azenkot, Daniel, et al.
Published: (2026)
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning
by: Nauck, Christian, et al.
Published: (2024)
by: Nauck, Christian, et al.
Published: (2024)
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
by: Neumeier, Marion, et al.
Published: (2024)
by: Neumeier, Marion, et al.
Published: (2024)
Predicting NCAP Safety Ratings: An Analysis of Vehicle Characteristics and ADAS Features Using Machine Learning
by: Kunwar, Raunak, et al.
Published: (2025)
by: Kunwar, Raunak, et al.
Published: (2025)
Uncertainty-Aware Diffusion Model for Multimodal Highway Trajectory Prediction via DDIM Sampling
by: Neumeier, Marion, et al.
Published: (2026)
by: Neumeier, Marion, et al.
Published: (2026)
Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines
by: Zeng, Liyun, et al.
Published: (2023)
by: Zeng, Liyun, et al.
Published: (2023)
Physics-informed RL for Maximal Safety Probability Estimation
by: Hoshino, Hikaru, et al.
Published: (2024)
by: Hoshino, Hikaru, et al.
Published: (2024)
Motor Vehicle Accident Severity Prediction Via Machine Learning
by: Chandolu, Abhinav
Published: (2025)
by: Chandolu, Abhinav
Published: (2025)
Probabilities-Informed Machine Learning
by: Rashki, Mohsen
Published: (2024)
by: Rashki, Mohsen
Published: (2024)
Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learning
by: Alwalan, Abdulaziz, et al.
Published: (2024)
by: Alwalan, Abdulaziz, et al.
Published: (2024)
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
by: Moss, Robert J., et al.
Published: (2023)
by: Moss, Robert J., et al.
Published: (2023)
Machine Learning-Based Estimation Of Wave Direction For Unmanned Surface Vehicles
by: Habouche, Manele Ait, et al.
Published: (2024)
by: Habouche, Manele Ait, et al.
Published: (2024)
COVID-19 Probability Prediction Using Machine Learning: An Infectious Approach
by: Ilani, Mohsen Asghari, et al.
Published: (2024)
by: Ilani, Mohsen Asghari, et al.
Published: (2024)
Unifying Runtime Monitoring Approaches for Safety-Critical Machine Learning: Application to Vision-Based Landing
by: Dario, Mathieu, et al.
Published: (2026)
by: Dario, Mathieu, et al.
Published: (2026)
Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM
by: Davies, Leon, et al.
Published: (2025)
by: Davies, Leon, et al.
Published: (2025)
An Efficient Continual Learning Framework for Multivariate Time Series Prediction Tasks with Application to Vehicle State Estimation
by: Hosseinzadeh, Arvin, et al.
Published: (2025)
by: Hosseinzadeh, Arvin, et al.
Published: (2025)
Assessing the Completeness of Traffic Scenario Categories for Automated Highway Driving Functions via Cluster-based Analysis
by: Roßberg, Niklas, et al.
Published: (2025)
by: Roßberg, Niklas, et al.
Published: (2025)
Can Machines Learn the True Probabilities?
by: Kim, Jinsook
Published: (2024)
by: Kim, Jinsook
Published: (2024)
Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
by: Bai, Ruoxuan, et al.
Published: (2024)
by: Bai, Ruoxuan, et al.
Published: (2024)
Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving
by: Yu, Hanyi, et al.
Published: (2024)
by: Yu, Hanyi, et al.
Published: (2024)
Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge
by: Amara-Ouali, Yvenn, et al.
Published: (2023)
by: Amara-Ouali, Yvenn, et al.
Published: (2023)
Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning
by: Bhaskar, Mihir, et al.
Published: (2025)
by: Bhaskar, Mihir, et al.
Published: (2025)
FedCF: Fair Federated Conformal Prediction
by: Srinivasan, Anutam, et al.
Published: (2025)
by: Srinivasan, Anutam, et al.
Published: (2025)
Smart Grid: A Survey of Architectural Elements, Machine Learning and Deep Learning Applications and Future Directions
by: Thilakarathne, Navod Neranjan, et al.
Published: (2020)
by: Thilakarathne, Navod Neranjan, et al.
Published: (2020)
Probability Distribution Learning and Its Application in Deep Learning
by: Qi, Binchuan, et al.
Published: (2024)
by: Qi, Binchuan, et al.
Published: (2024)
Big Batch Bayesian Active Learning by Considering Predictive Probabilities
by: Ober, Sebastian W., et al.
Published: (2025)
by: Ober, Sebastian W., et al.
Published: (2025)
A Novel Recurrent Neural Network Framework for Prediction and Treatment of Oncogenic Mutation Progression
by: Parthasarathy, Rishab, et al.
Published: (2025)
by: Parthasarathy, Rishab, et al.
Published: (2025)
In-Context Learning as Nonparametric Conditional Probability Estimation: Risk Bounds and Optimality
by: Liu, Chenrui, et al.
Published: (2025)
by: Liu, Chenrui, et al.
Published: (2025)
Explainable Graph-theoretical Machine Learning: with Application to Alzheimer's Disease Prediction
by: Baghirova, Narmina, et al.
Published: (2025)
by: Baghirova, Narmina, et al.
Published: (2025)
Collision Probability Distribution Estimation via Temporal Difference Learning
by: Steinecker, Thomas, et al.
Published: (2024)
by: Steinecker, Thomas, et al.
Published: (2024)
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
by: Murgai, Sharv, et al.
Published: (2024)
by: Murgai, Sharv, et al.
Published: (2024)
Machine Learning Applications in Medical Prognostics: A Comprehensive Review
by: Fascia, Michael
Published: (2024)
by: Fascia, Michael
Published: (2024)
Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory Data
by: He, Yang, et al.
Published: (2024)
by: He, Yang, et al.
Published: (2024)
Online Monitoring Framework for Automotive Time Series Data using JEPA Embeddings
by: Fertig, Alexander, et al.
Published: (2026)
by: Fertig, Alexander, et al.
Published: (2026)
Cybersecurity Assessment of Smart Grid Exposure Using a Machine Learning Based Approach
by: Jeje, Mofe O.
Published: (2025)
by: Jeje, Mofe O.
Published: (2025)
Similar Items
-
Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic
by: Nadarajan, Parthasarathy, et al.
Published: (2025) -
Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm
by: Nadarajan, Parthasarathy, et al.
Published: (2025) -
Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction
by: Fertig, Alexander, et al.
Published: (2025) -
Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation
by: Kalyanasundaram, Abinav, et al.
Published: (2025) -
Automatic Piecewise Linear Regression for Predicting Student Learning Satisfaction
by: Choi, Haemin, et al.
Published: (2025)