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1–50 von 654 Ergebnissen
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    Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform

    Chen, Chen / Zhang, Jingming / Chen, Qiushi et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Static Targets Recognition and Tracking Based on Millimeter Wave Radar

    GAO, Li / Zhao, Yanan / Zhang, Yu et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    A Deep Ensemble Network Model for Refined Traffic Volume Prediction Considering Spatial-Temporal Features

    Tao, Lu / Zhou, Tian / Liu, Wan et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Driver Identification Using Multivariate In-vehicle Time Series Data

    Luo, Dawei / Guo, Gang / Lu, Jianbo | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Thin-Walled Compliant Mechanism Component Design Assisted by Machine Learning and Multiple Surrogates

    Tovar, Andres / Detwiler, Duane / Nutwell, Emily et al. | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    A Combined Markov Chain and Reinforcement Learning Approach for Powertrain-Specific Driving Cycle Generation

    Dietrich, Maximilian / Sarkar, Mouktik / Chen, Xi | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Machine Learning and Response Surface-Based Numerical Optimization of the Combustion System for a Heavy-Duty Gasoline Compression Ignition Engine

    Mohan, Balaji / Badra, Jihad / Tang, Meng et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Effective Second Moment of Load Path (ESMLP) Method for Multiaxial Fatigue Damage and Life Assessment

    Dong, Pingsha / Pei, Xianjun / Wei, Zhigang | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Leveraging Historical Thermal Wind Tunnel Data for ML-Based Predictions of Component Temperatures for a New Vehicle Project

    Rottengruber, Hermann / Freytag, Lukas / Enke, Wolfram | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    A Comprehensive Analysis of Methods to Write Requirements for Machine Learning Components used in Autonomous Vehicles

    Gil Batres, Andrea / Avalos Gonzalez, Carlos / Krishnamoorthy, Jayalekshmi et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation

    Adler, Aviv / Miculescu, David / Karaman, Sertac | TIBKAT | 2020
    Schlagwörter: Machine learning

    Real-Time Condition Monitoring of Multi-Component High Torque Helical Gearbox in Coal Handling Belt Conveyor System Using Machine Learning – A Statistical Approach

    V, Muralidharan / D, Pradeep Kumar / Santhanam, Ravikumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Dynamic Walking on Stepping Stones with Gait Library and Control Barrier Functions

    Nguyen, Quan / Da, Xingye / Grizzle, J. W. et al. | TIBKAT | 2020
    Schlagwörter: Machine learning

    Integrated Perception and Control at High Speed: Evaluating Collision Avoidance Maneuvers Without Maps

    Florence, Pete / Carter, John / Tedrake, Russ | TIBKAT | 2020
    Schlagwörter: Machine learning

    Short-Term Traffic Flow Prediction Algorithm for Expressway Based on Long Short-Term Memory and Support Vector Regression

    Wang, Hong Fei / Chang, Hui / Zhou, Jing Mei et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Scour Depth Evaluation of a Bridge with a Complex Pier Foundation

    Liao, Kuo-Wei / Muto, Yasunori / Lin, Jhe-Yu | Online Contents | 2018
    Schlagwörter: machine learning

    An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection

    Sai Charan, Kovuru | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Toward a Framework for Highly Automated Vehicle Safety Validation

    Wagner, Michael / Koopman, Philip | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking

    Salvi, Ameya / Buzhardt, Jake / Smereka, Jonathon M. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Auto-Tuning PID Controller on Electromechanical Actuators Using Machine Learning

    Hernandez, Jorge / Nayak, Sameer / Saini, Sandeep | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Coordinated EV Charging Based on Charging Profile Clustering and Rule-Based Energy Management

    Salah, Alia / Brosi, Frank / Reuss, Hans-Christian et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Reinforcement Learning Enhanced New Energy Vehicle Dynamic Subsidy Strategies

    Zhou, Guilin / Wang, Jie / Liao, Yuhong et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software

    Czarnecki, Krzysztof / Salay, Rick / Queiroz, Rodrigo | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Unsettled Technology Opportunities for Vehicle Health Management and the Role for Health-Ready Components

    Holland, Steve | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Intelligent Classification of Automotive Horn Sound Quality

    Mollah, Asfak / Mahanta, Tapan K. / Balide, Venkatesham | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Aeroengine Gas Path Parameter Trend Prediction Based on LSTM

    Zhou, Qifeng / Chen, Xiaonan / Qing, Xinlin et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Development and Research of Environment Perception Technology in Intelligent Networked Transportation System

    Wu, Jingyuan / Tian, Liping / Wang, Miao et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine

    AlRamadan, Abdullah S. / Mohan, Balaji / Badra, Jihad et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Towards Semi-Supervised Causal Open Set Recognition

    Xue, Richard / Feng, Rui / Zhao, Rui-Wei | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Nighttime Vehicle Detection Based on Lane Information and Detector with Convolutional Neural Network Features

    Zhang, Bingli / Qin, Haoran / Zheng, Jieyu et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Machine Learning Application to Predict Turbocharger Performance under Steady-State and Transient Conditions

    Jeyamoorthy, Arravind / Tanabe, Iku / Kusaka, Jin et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Catalyst Design Study of Detailed Reaction Model including Gas Diffusivity into the Washcoat

    Niesner, Bradley / Tolsma, John / Yamamoto, Osami et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    A Diagnostic Technology of Powertrain Parts that Cause Abnormal Noises Using Artificial Intelligence

    Lee, Dongchul / Yoo, Dongkyu / Jung, Insoo et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Semantic Segmentation with High Inference Speed in Off-Road Environments

    Selee, Bradley / Faykus, Max / Smith, Melissa | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Reinforcement Learning based Energy Management of Multi-Mode Plug-in Hybrid Electric Vehicles for Commuter Route

    Wang, Pengyue / Northrop, William | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Dynamic Load Identification for Battery Pack Bolt Based on Machine Learning

    Sheng, Deke / Liu, Ruixue / Wang, Shuyu et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Machine Learning Methods to Improve the Accuracy of Industrial Robots

    Murphy, Adrian / Higgins, Colm / Butterfield, Joe et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Identification of Driver’s Braking Intention in Cut-In Scenarios

    Li, Jingyuan / Ji, Xuewu / Liu, Yahui et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Reinforcement Learning Technique for Parameterization in Powertrain Controls

    Sidharthan, Gautham / Venkobarao, Vivek | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Lane Change Decision Algorithm Based on Deep Q Network for Autonomous Vehicles

    Wu, Guangqiang / Zhang, Xianhong / Li, Xiaoyun et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Short-Term Traffic Flow Prediction for Electronic Toll Collection and Manual Toll Collection Charging System Based on Long Short-Term Memory Model

    Wu, Bangyu / Li, Bin / Zhu, Chen et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Tool Condition Monitoring in Face Milling Process Using Decision Tree and Statistical Features of Vibration Signal

    Vaithiyanathan, Muralidharan / Durairaj, Pradeep Kumar | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Reward Function Design via Human Knowledge Graph and Inverse Reinforcement Learning for Intelligent Driving

    Guo, Rong / Xue, Xiang / Hong, Ze | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Using a Statistical Machine Learning Tool for Diesel Engine Air Path Calibration

    Winward, Edward / Mohd Azmin, Farraen / Rutledge, John et al. | SAE Technical Papers | 2014
    Schlagwörter: Machine learning

    THC Concentration Estimation Model using FTIR Spectrum

    Yabushita, Hirotaka / Nagaoka, Makoto / Yoshioka, Masaya et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Weight Reduction of Double Wishbone-Arm Component in the Suspension System of an Automobile using Generative Design

    B, Beno Prince / Elsen, Renold / P G, Sachin et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Departure Flight Delay Prediction and Visual Analysis Based on Machine Learning

    Zhang, Jian / Qian, Pinzheng / Qi, Xinyue | SAE Technical Papers | 2023
    Schlagwörter: Machine learning