PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Doll, Konrad"

Author of the publication

copydeleteadd this publication to your clipboard
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems

, , , , , , , , and . 2021 IEEE International Smart Cities Conference (ISC2), Piscataway, IEEE, (2021)
DOI: 10.1109/ISC253183.2021.9562912

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

PD Dr. Klaus Doll University of Stuttgart

Gernot Konrad University of Stuttgart

Konrad Langenbeck

Philipp Doll University of Stuttgart

Univ. -Prof. a. D. Dr. -Ing. Konrad Langenbeck University of Stuttgart

 

Other publications of authors with the same name

Gpu architecture for stationary multisensor pedestrian detection at smart intersections., , , , , and . Intelligent Vehicles Symposium, page 89-94. IEEE, (2011)Early prediction of a pedestrian's trajectory at intersections., , , , and . ITSC, page 237-242. IEEE, (2013)Analysis on termination of pedestrians' gait at urban intersections., , , , , , and . ITSC, page 1758-1763. IEEE, (2014)Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning., , , , , and . CoRR, (2018)Human Pose Estimation in Real Traffic Scenes., , , , and . SSCI, page 518-523. IEEE, (2018)DOMINO: Deterministic Placement Improvement with Hill-Climbing Capabilities., , and . VLSI, volume A-1 of IFIP Transactions, page 91-100. North-Holland, (1991)Cyclist Motion State Forecasting - Going beyond Detection., , , , and . SSCI, page 1-8. IEEE, (2021)Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems, , , , , , , , and . 2021 IEEE International Smart Cities Conference (ISC2), Piscataway, IEEE, (2021)Trajectory prediction of cyclists using a physical model and an artificial neural network., , , , and . Intelligent Vehicles Symposium, page 833-838. IEEE, (2016)FPGA-GPU architecture for kernel SVM pedestrian detection., , , and . CVPR Workshops, page 61-68. IEEE Computer Society, (2010)