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3D Registration and Integrated Segmentation Framework for Heterogeneous Unmanned Robotic Systems

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1608

2020

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Deep Learning Applied to Scenario Classification for Lane-Keep-Assist Systems

Applied sciences, 2018-12, Vol.8 (12), p.2590

2018

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Testing of autonomous vehicles using surrogate models and stochastic optimization

2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017, p.1-6

2017

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Formation control of multiple passive type boats for sea surveillance

2016 IEEE/SICE International Symposium on System Integration (SII), 2016, p.869-874

2016

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Challenges for the Validation and Testing of Automated Driving Functions

Advanced Microsystems for Automotive Applications 2017, p.179-187

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Polar Occupancy Map - A Compact Traffic Representation for Deep Learning Scenario Classification

2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019, p.4197-4203

2019

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On Driver-Vehicle-Environment Integration for Multi-Actuated Ground Vehicles Safety Advancement: An Overview of the Interdisciplinary Training Network in Multi-Actuated Ground Vehicles

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE), 2019, p.1-6

2019

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Model-based safety validation of the automated driving functio highway pilot

8th International Munich Chassis Symposium 2017, p.309-329

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3D Registration and Integrated Segmentation Framework for Heterogeneous Unmanned Robotic Systems

Deep Learning Applied to Scenario Classification for Lane-Keep-Assist Systems

Testing of autonomous vehicles using surrogate models and stochastic optimization

Formation control of multiple passive type boats for sea surveillance

Challenges for the Validation and Testing of Automated Driving Functions

Use of multi-domain robots in search and rescue operations - Contributions of the ICARUS team to the euRathlon 2015 challenge

Polar Occupancy Map - A Compact Traffic Representation for Deep Learning Scenario Classification

On Driver-Vehicle-Environment Integration for Multi-Actuated Ground Vehicles Safety Advancement: An Overview of the Interdisciplinary Training Network in Multi-Actuated Ground Vehicles

Model-based safety validation of the automated driving functio highway pilot

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