Julian Schlechtriemen

Orcid: 0000-0002-9130-061X

According to our database1, Julian Schlechtriemen authored at least 8 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets.
IEEE Trans. Intell. Transp. Syst., 2021

Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks.
IEEE Robotics Autom. Lett., 2021

2020
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2016
Wiggling through complex traffic: Planning trajectories constrained by predictions.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2015
When will it change the lane? A probabilistic regression approach for rarely occurring events.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

2014
A lane change detection approach using feature ranking with maximized predictive power.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

A probabilistic long term prediction approach for highway scenarios.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014


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