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Computer Science

D-Index
66
Citations
21909
World Ranking
2284
National Ranking
94

Electronics and Electrical Engineering

D-Index
65
Citations
20575
World Ranking
1190
National Ranking
33

Overview

Alois Knoll is affiliated with the Technical University of Munich in Germany. Their primary research spans the fields of Engineering and Computer Science, with significant contributions focusing on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Automotive Engineering, and Electrical and Electronic Engineering.

The scientist's work encompasses several main topics, including Autonomous Vehicle Technology and Safety, Advanced Neural Network Applications, Robot Manipulation and Learning, Robotics and Sensor-Based Localization, Reinforcement Learning in Robotics, Robotic Path Planning Algorithms, and Advanced Memory and Neural Computing.

Some of the recent papers connected with Alois Knoll's research include the following:

  • A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal (2020), published in IEEE Transactions on Systems Man and Cybernetics Systems
  • Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception (2020), published in IEEE Signal Processing Magazine
  • What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction (2020), published in mediaTUM - the media and publications repository of the Technical University Munich
  • Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results (2020), published in Neural Networks
  • A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks (2021), published in Neural Processing Letters

Frequent co-authors in Alois Knoll's collaborations include:

  • Zhenshan Bing
  • Guang Chen
  • Kai Huang
  • Walter Zimmer
  • Zhijun Li

Their contributions have appeared across various publication venues, with a concentration in:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Frontiers in Neurorobotics
  • IEEE Transactions on Intelligent Vehicles
  • IEEE Transactions on Intelligent Transportation Systems

Best Publications

  • Gradient boosting machines, a tutorial.

    Alexey Natekin;Alois C. Knoll

  • The Human Brain Project: Creating a European Research Infrastructure to Decode the Human Brain

    Katrin Amunts;Katrin Amunts;Christoph Ebell;Jeff Muller;Martin Telefont

  • A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal

    Guang Chen;Haitao Wang;Kai Chen;Zhijun Li

  • A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks

    H. Mayer;F. Gomez;D. Wierstra;I. Nagy

  • What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction

    Christoph Scholler;Vincent Aravantinos;Florian Lay;Alois Knoll

  • Human-robot interaction in handing-over tasks

    M. Huber;M. Rickert;A. Knoll;T. Brandt

  • Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception

    Guang Chen;Hu Cao;Jorg Conradt;Huajin Tang

  • Introducing the Human Brain Project

    Henry Markram;Karlheinz Meier;Thomas Lippert;Sten Grillner

  • A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks

    Daniel Auge;Julian Hille;Julian Hille;Etienne Mueller;Alois C. Knoll

  • Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results.

    Hang Su;Yingbai Hu;Hamid Reza Karimi;Alois C. Knoll

  • PM-Huber: PatchMatch with Huber Regularization for Stereo Matching

    Philipp Heise;Sebastian Klose;Brian Jensen;Alois Knoll

  • OPC UA versus ROS, DDS, and MQTT: Performance Evaluation of Industry 4.0 Protocols

    Stefan Profanter;Ayhun Tekat;Kirill Dorofeev;Markus Rickert

  • A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks.

    Zhenshan Bing;Claus Meschede;Florian Röhrbein;Kai Huang

  • Energy optimization for real-time multiprocessor system-on-chip with optimal DVFS and DPM combination

    Gang Chen;Kai Huang;Alois Knoll

  • Artificial Cognition in Production Systems

    A Bannat;T Bautze;M Beetz;J Blume

  • The Endo[PA]R system for minimally invasive robotic surgery

    H. Mayer;I. Nagy;A. Knoll;E.U. Schirmbeck

  • A Partition-Based Match Making Algorithm for Dynamic Ridesharing

    Dominik Pelzer;Jiajian Xiao;Daniel Zehe;Michael H. Lees

  • Joint-action for humans and industrial robots for assembly tasks

    C. Lenz;S. Nair;M. Rickert;A. Knoll

  • Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform.

    Egidio Falotico;Lorenzo Vannucci;Alessandro Ambrosano;Ugo Albanese

  • The introduction of a new robot for assistance in ophthalmic surgery

    M. A. Nasseri;M. Eder;S. Nair;E. C. Dean

  • RACE: A Centralized Platform Computer Based Architecture for Automotive Applications

    Stephan Sommer;Alexander Camek;Klaus Becker;Christian Buckl

Frequent Co-Authors

Jianwei Zhang
Jianwei Zhang Universität Hamburg
Wentong Cai
Wentong Cai Nanyang Technological University
Stefan Glasauer
Stefan Glasauer Brandenburg University of Technology
Alfons Kemper
Alfons Kemper Technical University of Munich
Nassir Navab
Nassir Navab Technical University of Munich
Zhijun Li
Zhijun Li Tongji University
Thomas Brandt
Thomas Brandt Ludwig-Maximilians-Universität München
Elena De Momi
Elena De Momi Polytechnic University of Milan
Giancarlo Ferrigno
Giancarlo Ferrigno Polytechnic University of Milan
Cecilia Laschi
Cecilia Laschi National University of Singapore

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