Oliver Scheel

Orcid: 0000-0003-3084-6675

According to our database1, Oliver Scheel authored at least 9 papers between 2018 and 2022.

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

Timeline

2018
2019
2020
2021
2022
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4
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Recurrent Models for Lane Change Prediction and Situation Assessment.
IEEE Trans. Intell. Transp. Syst., 2022

2021
What data do we need for training an AV motion planner?
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SimNet: Learning Reactive Self-driving Simulations from Real-world Observations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Using Deep Neural Networks for Scene Understanding and Behaviour Prediction in Autonomous Driving.
PhD thesis, 2020

Explicit Domain Adaptation With Loosely Coupled Samples.
IEEE Robotics Autom. Lett., 2020

Ambiguity in Sequential Data: Predicting Uncertain Futures With Recurrent Models.
IEEE Robotics Autom. Lett., 2020

2019
Attention-based Lane Change Prediction.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018


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