People | Locations | Statistics |
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Ziakopoulos, Apostolos | Athens |
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Vigliani, Alessandro | Turin |
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Catani, Jacopo | Rome |
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Statheros, Thomas | Stevenage |
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Utriainen, Roni | Tampere |
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Guglieri, Giorgio | Turin |
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Martínez Sánchez, Joaquín |
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Tobolar, Jakub |
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Volodarets, M. |
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Piwowar, Piotr |
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Tennoy, Aud | Oslo |
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Matos, Ana Rita |
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Cicevic, Svetlana |
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Sommer, Carsten | Kassel |
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Liu, Meiqi |
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Pirdavani, Ali | Hasselt |
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Niklaß, Malte |
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Lima, Pedro | Braga |
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Turunen, Anu W. |
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Antunes, Carlos Henggeler |
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Krasnov, Oleg A. |
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Lopes, Joao P. |
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Turan, Osman |
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Lučanin, Vojkan | Belgrade |
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Tanaskovic, Jovan |
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Frey, Michael Z.
Karlsruhe Institute of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
- autonomous vehicle
- monitoring
- sensor
- actuating system
- actuator
- assessment
- vehicle
- diagnosis
- electric vehicle
- data
- forecasting
- accumulator
- temperature
- neural network
- commodity
- automotive engineering
- tire
- wheel load
- deformation
- torque
- vehicle operation
- hazard
- vehicle frame
- driving
- autonomous driving
- database
- driver support system
- specification
- commercial vehicle
- security
- engineering
- sampling
- sensitivity
- field test
- Time series analysis
- flood plain
- cross correlation
- utility vehicle
- algorithm
- time series
- automobile industry
- system of measurement
- data logging
- guideway
- planning
- reliability
- driver
- modeling
- customer
- computer science
- transportation engineering
- optimisation
- vehicle fleet
- velocity
- map
- architecture
- dynamic programming
- profit
- departure time
- cruise control
- speed control
- legislation
- road
- routing
- machinery
- learning
- machine learning
- regression analysis
- intelligence
- big data
- hybrid simulation
- Statistic
- safety
- simulation
- validation
- face
- calibration
- genetic algorithm
- intelligent transportation system
- linear programming
- iterative method
- level 3 driving automation
- beltway
- braking
- industry
- abstract
- emergency
- crash
- software
- highway safety
- mining
- data mining
- poison
- traffic platooning
- psychology
- test procedure
- driving simulator
- costs
- vision
- fuel
- market
- evolution
- public road
- supervisor
- productivity
- automation
- test track
- no build
- autonomous truck
- region
- variance
- parametric analysis
- sensitivity analysis
- workshop
- bus
- planer
- estimating
- longitudinal control
- spline
- mechanical engineering
- asphalt
- manual
- kinematics
- acceleration
- law
- concrete
- pavement
- econometrics
- interface
- road material
- graphical user interface
- gyroscope
- railway train
- wheel
- education
- steering
- steering wheel
- electric drive
- axle
- driveline
- power steering
- vehicle detector
- vehicle size
- benchmark
- control device
- laboratory
- heavy vehicle
- design
- data file
- image processing
- visibility
- traffic sign
- electronic control
- transportation safety
- cockpit
- electronic controller
- speed limit
- city traffic
- behavior
- decision making
- synthetic
- data fusion
- embedded system
- data collection
- crowd
- estimate
- infrastructure
- comfort
- tree
- resistance
- time interval
- suspension system
- graph
- rolling resistance
- communication system
- driving behavior
- positioning
- vehicle dynamic
- position fixing
- insurance
- measuring instrument
- global positioning system
- discount
- test driver
- automobile
- passenger
- passenger car
- vehicle occupant
- shock absorber
- engine
- motor
- acoustics
- passenger vehicle
- examination
- layout
- machine
- lining
- test stand
- drone
- curvature
- research project
- superelevation
- employed
- hub
- traffic lane
- traction
- testing equipment
- snow
- winter
- test facility
- snow tire
- show 181 more
Publications (38/38 displayed)
- 2023Model-Based Condition Monitoring of the Sensors and Actuators of an Electric and Automated Vehiclecitations
- 2023Evaluation of Different Fault Diagnosis Methods and Their Applications in Vehicle Systems
- 2022A Method of Developing Quantile Convolutional Neural Networks for Electric Vehicle Battery Temperature Prediction Trained on Cross-Domain Datacitations
- 2021Messeinrichtung zur Ermittlung des Verformungsverhaltens von Fahrzeugreifen im realen Fahrbetrieb
- 2021Kundenorientierte Absicherung mit Hilfe methodischer Testfallerstellung aus Felddaten
- 2021Verbundprojekt "Schlüsseltechnologien für die nächste Generation der Elektrofahrzeuge (e-generation)": Teilvorhaben KIT: "Assistenzsysteme für effizienten Energieeinsatz bei Elektrofahrzeugen": Schlussbericht
- 2021Verbundprojekt: "Gesamtfahrzeugintegration innovativer Konzepte für ein effizientes und performantes E-Fahrzeug (e-volution)", Teilvorhaben KIT: "Assistenzsysteme für effiziente und performante Elektrofahrzeuge" : Schlussbericht
- 2021Segmentation of Multivariate Time Series with Convolutional Neural Networks
- 2021Technische Aspekte der Ueberwachung der akustischen Qualitaet der Fahrwege im Strassenverkehr
- 2020An All-Electric Alpine Crossing: Time-Optimal Strategy Calculation via Fleet-Based Vehicle Datacitations
- 2020Energetic Map Data Imputation: A Machine Learning Approachcitations
- 2020A fast and accurate hybrid simulation model for the large-scale testing of automated driving functionscitations
- 2020Efficient Simulation Based Calibration of Automated Driving Functions Based on Sensitivity Based Optimizationcitations
- 2019Ontology-based adaptive testing for automated driving functions using data mining techniquescitations
- 2019Adaptive functional testing for autonomous trucks
- 2019Dimensionality reduction and identification of valid parameter bounds for the efficient calibration of automated driving functionscitations
- 2019Voraussetzungen & Einsatzmöglichkeiten von automatisiert und elektrisch fahrenden (Klein-) Bussen im ÖPNV - Ergebnisse aus dem Forschungsvorhaben LEA (Klein-) Bus
- 2019Automated Longitudinal Control Based on Nonlinear Recursive B-Spline Approximation for Battery Electric Vehicles
- 2018Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameterscitations
- 2018Reducing Energy Demand Using Wheel-Individual Electric Drives to Substitute EPS-Systemscitations
- 2018Charakterisierung der Fahrbahnbeschaffenheit durch Data Mining von gemessenen kinematischen Fahrzeuggrößen [Characterization of road states using data mining based on kinematic vehicle sensors]
- 2017An agile verification framework for traffic sign classification algorithms in heavy vehiclescitations
- 2017A real-time multisensor fusion verification framework for advanced driver assistance systemscitations
- 2017Inertial sensor for an autonomous data acquisition of a novel automotive acoustic measurement systemcitations
- 2017Learning from the crowd: Road infrastructure monitoring systemcitations
- 2017Driving event detection and driving style classification using artificial neural networkscitations
- 2015Damping A Passenger Car With A Gyroscopic Damper Systemcitations
- 2015A Gyroscopic Damper System - Damping with New Characteristic
- 2011Akustik-Allradrollenprüfstand für mobile Maschinen
- 2009Unmanned Aerial Vehicle (UAV) with Plasma Actuators for Separation Controlcitations
- 2006The frictional force and deformation behaviour of vehicle tyres
- 2006Equipment for determination of tyre deformation behaviour under real driving conditions
- 2006Kraftschluss- und Verformungsverhalten von Fahrzeugreifen bei extremen Fahrmanövern
- 2006Messeinrichtung zur Ermittlung des Verformungsverhaltens von Fahrzeugreifen im realen Fahrbetrieb
- 2005Grundsatzuntersuchung zum quantitativen Einfluss von Reifenbauform und -ausführung auf die Fahrstabilität von Kraftfahrzeugen
- 2005Traction measurements on snow with the internal drum test bench - A new method for winter tire development -citations
- 2005Kraftschlussmessungen auf Schnee mit dem Reifen-Innentrommel-Prüfstand
- 2004WSE-Sensor zur Erkennung feuchter, nasser, schnee- und eisbedeckter Fahrbahnoberflächen. Beitrag zum Dynamischen Fahrbahn Informations System DFIS
Places of action
article
Energetic Map Data Imputation: A Machine Learning Approach
Abstract
Despite a rapid increase of public interest for electric mobility, several factors still impede Battery Electric Vehicles&rsquo ; (BEVs) acceptance. These factors include their limited range and inconvenient charging. For mitigating these limitations to users, certain BEV-specific services are required. Therefore, such services provide a reliable range prediction and routing, including charging-stop planning. The basis of these services is a precise and reliable Energy Demand (ED) prediction. For that matter, aggregated fleet-vehicle data combined with map-specific data (e.g., road slope) form an energetic map, which can serve for precise ED predictions. However, data coverage is paramount for these predictions, more specifically regarding gapless energetic maps. This work aims to eliminate the energetic map&rsquo ; s gaps using two Machine Learning (ML) approaches: regression and classification. The proposed ML solution builds upon the synergy between map-information and crowdsourced driving profiles of 4.6 million kilometres of training and test traces. For evaluation, two test-scenarios capture the models&rsquo ; performance for the analysed problem in two perspectives. First, we evaluate our ML models, followed by the problem-specific energetic evaluation perspective for better interpretability. From the latter, the results indicate energetic map data imputation performs promisingly better when using the regression instead of the classification model.
Topics
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