Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling
Beitrag zu einer Konferenz
Faculties
Fakultät für Ingenieurwissenschaften, Informatik und PsychologieInstitutions
Institut für Mess-, Regel- und MikrotechnikPublished in
2018 IEEE International Conference on Robotics and Automation (ICRA) / Lynch, Kevin (Hrsg.). - New York, NY : Institute of Electrical and Electronics Engineers, 2018. - (IEEE International Conference on Robotics and Automation ICRA). - S. 2056-2063. - ISBN 978-1-5386-3081-5. - ISSN 1050-4729
Conference
IEEE International Conference on Robotics and Automation (ICRA), 2018-05-21 - 2018-05-25, Brisbane
Funding information
European Union under the H2020 EU. 2.1.1.7. ECSEL Programme [661933]
RobustSENSE / Robust and Reliable Environment Sensing and Situation Prediction for Advanced Driver Assistance Systems and Automated Driving / EC / H2020 / 661933
RobustSENSE / Robust and Reliable Environment Sensing and Situation Prediction for Advanced Driver Assistance Systems and Automated Driving / EC / H2020 / 661933