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Valentin Protschky
Also published under:V. Protschky
Affiliation
Safety Department, BMW Research and Development, Munich
Topic
Advanced Driver Assistance Systems,Light Signal,Start Time,Support Vector Machine,Traffic Light,Adaptive Cruise Control,Additional Constraints,Amount Of Input Data,Automated Vehicles,Bayes Factor,Benchmark Datasets,Beta Distribution,Blink Detection,Blink Frequency,Blink Rate,CO2 Reduction,Camera Data,Camera System,Circular Variance,Crowdsourcing,Cruise Control,Cumulative Density Function,Cycle Time,Detection System,Differences In Acceptance,Digital Map,Distancing Measures,Driver Fatigue,Duration Of Phase,Face Detection,Facial Expressions,Fewer Data,Flowchart,Front Wheel,Green Signal,Head Pose,Head Rotation,Improve Prediction Performance,Improvement In Accuracy,Lane Change,Lane Change Maneuver,Lateral Movement,Lateral Position,Level Of Alertness,Linear Classifier,Long Short-term Memory,Map Information,Mean Duration,Mean Free Path,Median Filter,
Biography
Valentin Protschky received the B.Sc. and M.Sc. degrees in computer
science from Ludwig-Maximilians-Universität München, Munich, Germany, in 2010 and 2012, respectively. He
is currently working toward the Ph.D. degree in computer science at Ludwig-Maximilians-Universität
München.
He is also currently a Traffic Technology and Traffic Management Specialist with BMW Group, Munich. During his work at BMW, he has set up, among others, a back-end traffic light forecast framework. His fields of work include route planning, vehicle trajectory analysis, knowledge discovery, and crowdsourced data mining from big data.
He is also currently a Traffic Technology and Traffic Management Specialist with BMW Group, Munich. During his work at BMW, he has set up, among others, a back-end traffic light forecast framework. His fields of work include route planning, vehicle trajectory analysis, knowledge discovery, and crowdsourced data mining from big data.