Michael Truong-Le

According to our database, Michael Truong-Le authored at least 7 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2019

Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving.

Tobias Kessler, Julian Bernhard, Martin Buechel, Klemens Esterle, Patrick Hart, Daniel Malovetz, Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Graph Neural Networks for Modelling Traffic Participant Interaction.

Frederik Diehl, Thomas Brunner, Michael Truong-Le, Alois C. Knoll

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks.

Thomas Brunner, Frederik Diehl, Michael Truong-Le, Alois C. Knoll

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Leveraging Semantic Embeddings for Safety-Critical Applications.

Thomas Brunner, Frederik Diehl, Michael Truong-Le, Alois C. Knoll

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Uncertainty Estimation for Deep Neural Object Detectors in Safety-Critical Applications.

Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Neural networks for safety-critical applications - Challenges, experiments and perspectives.

Chih-Hong Cheng, Frederik Diehl, Gereon Hinz, Yassine Hamza, Georg Nührenberg, Markus Rickert, Harald Ruess, Michael Truong-Le

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

Deep neural networks for Markovian interactive scene prediction in highway scenarios.

David Lenz, Frederik Diehl, Michael Truong-Le, Alois C. Knoll

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017