Marco Tassemeier

According to our database, Marco Tassemeier authored at least 9 papers between 2021 and 2023.

Collaborative distances:

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

2023

ReDroSe - Reconfigurable Drone Setup for Resource-Efficient SLAM.

Sebastian Rahn, Philipp Gehricke, Can-Leon Petermöller, Eric Neumann, Philipp Schlinge, Leon Rabius, Henning Termühlen, Christopher Sieh, Marco Tassemeier, Thomas Wiemann, Mario Porrmann

Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems, 2023

Evaluation of heterogeneous AIoT Accelerators within VEDLIoT.

René Griessl, Florian Porrmann, Nils Kucza, Kevin Mika, Jens Hagemeyer, Martin Kaiser, Mario Porrmann, Marco Tassemeier, Marcel Flottmann, Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso, Daniel Ödman, Karol Gugala, Grzegorz Latosinski

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

VEDLIoT: Next generation accelerated AIoT systems and applications.

Kevin Mika, René Griessl, Nils Kucza, Florian Porrmann, Martin Kaiser, Lennart Tigges, Jens Hagemeyer, Pedro Trancoso, Muhammad Waqar Azhar, Fareed Qararyah, Stavroula Zouzoula, Jämes Ménétrey, Marcelo Pasin, Pascal Felber, Carina Marcus, Oliver Brunnegård, Olof Eriksson, Hans Salomonsson, Daniel Ödman, Andreas Ask, António Casimiro, Alysson Bessani, Tiago Carvalho, Karol Gugala, Piotr Zierhoffer, Grzegorz Latosinski, Marco Tassemeier, Mario Porrmann, Hans-Martin Heyn, Eric Knauss, Yufei Mao, Franz Meierhöfer

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

ReconfROS: An approach for accelerating ROS nodes on reconfigurable SoCs.

Marc Eisoldt, Marcel Flottmann, Julian Gaal, Steffen Hinderink, Juri Vana, Marco Tassemeier, Marc Rothmann, Thomas Wiemann, Mario Porrmann

Microprocess. Microsystems, October, 2022

A fully integrated system for hardware-accelerated TSDF SLAM with LiDAR sensors (HATSDF SLAM).

Marc Eisoldt, Julian Gaal, Thomas Wiemann, Marcel Flottmann, Marc Rothmann, Marco Tassemeier, Mario Porrmann

Robotics Auton. Syst., 2022

VEDLIoT: Very Efficient Deep Learning in IoT.

Martin Kaiser, René Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugula, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn

CoRR, 2022

VEDLIoT: Very Efficient Deep Learning in IoT.

Martin Kaiser, René Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Neves Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugala, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

ReconfROS: Running ROS on Reconfigurable SoCs.

Marc Eisoldt, Steffen Hinderink, Marco Tassemeier, Marcel Flottmann, Juri Vana, Thomas Wiemann, Julian Gaal, Marc Rothmann, Mario Porrmann

Proceedings of the DroneSE and RAPIDO '21: Methods and Tools, 2021

Energy-efficient FPGA-accelerated LiDAR-based SLAM for embedded robotics.

Marcel Flottmann, Marc Eisoldt, Julian Gaal, Marc Rothmann, Marco Tassemeier, Thomas Wiemann, Mario Porrmann

Proceedings of the International Conference on Field-Programmable Technology, 2021