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Klaus Dietmayer

Klaus Dietmayer

D-Index & Metrics

Computer Science

D-Index
61
Citations
15522
World Ranking
3062
National Ranking
145

Overview

Klaus Dietmayer is affiliated with the University of Ulm in Germany and has a substantial publication record in the areas of computer science and engineering. Their research spans multiple subfields with a significant focus on computer vision and pattern recognition, automotive engineering, and artificial intelligence, among others.

The main fields of study associated with Dietmayer include:

  • Computer Science
  • Engineering

Their work delves into a variety of specialized subfields, particularly:

  • Computer Vision and Pattern Recognition
  • Automotive Engineering
  • Artificial Intelligence
  • Aerospace Engineering
  • Environmental Engineering

Key areas of research topics encompass:

  • Autonomous Vehicle Technology and Safety
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Remote Sensing and LiDAR Applications
  • Anomaly Detection Techniques and Applications
  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms

Dietmayer has contributed to a variety of frequent publication venues, many related to intelligent transportation and robotics, such as:

  • arXiv (Cornell University)
  • 2022 IEEE Intelligent Vehicles Symposium (IV)
  • 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Robotics and Automation Letters

Several recent papers authored or co-authored by Dietmayer include:

  • "Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges" (2020), published in IEEE Transactions on Intelligent Transportation Systems
  • "A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving" (2021), published in IEEE Transactions on Intelligent Transportation Systems
  • "Point Transformer" (2021), published in IEEE Access
  • "CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention" (2022), published in the 2022 International Conference on Robotics and Automation (ICRA)
  • "MotionMixer: MLP-based 3D Human Body Pose Forecasting" (2022), published in the Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Their frequent co-authors include:

  • Michael Buchholz
  • Michael B. Buchholz
  • Vasileios Belagiannis
  • Aldi Piroli
  • Vinzenz Dallabetta

Best Publications

  • Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

    Di Feng;Christian Haase-Schutz;Lars Rosenbaum;Heinz Hertlein

  • Three Decades of Driver Assistance Systems: Review and Future Perspectives

    Klaus Bengler;Klaus Dietmayer;Berthold Farber;Markus Maurer

  • The Labeled Multi-Bernoulli Filter

    Stephan Reuter;Ba-Tuong Vo;Ba-Ngu Vo;Klaus Dietmayer

  • Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods

    Adnan Nuhic;Tarik Terzimehic;Thomas Soczka-Guth;Michael Buchholz

  • Probabilistic trajectory prediction with Gaussian mixture models

    Jurgen Wiest;Matthias Hoffken;Ulrich Kresel;Klaus Dietmayer

  • Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather

    Mario Bijelic;Tobias Gruber;Fahim Mannan;Florian Kraus

  • A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving

    Di Feng;Ali Harakeh;Steven L. Waslander;Klaus Dietmayer

  • Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection

    Di Feng;Lars Rosenbaum;Klaus Dietmayer

  • Situation Assessment of an Autonomous Emergency Brake for Arbitrary Vehicle-to-Vehicle Collision Scenarios

    N. Kaempchen;B. Schiele;K. Dietmayer

  • Pedestrian recognition in urban traffic using a vehicle based multilayer laserscanner

    K.Ch. Fuerstenberg;K.C.J. Dietmayer;V. Willhoeft

  • Point Transformer

    Nico Engel;Vasileios Belagiannis;Klaus Dietmayer

  • 2D Car Detection in Radar Data with PointNets

    Andreas Danzer;Thomas Griebel;Martin Bach;Klaus Dietmayer

  • Continuous Driver Intention Recognition with Hidden Markov Models

    H. Berndt;J. Emmert;K. Dietmayer

  • IMM object tracking for high dynamic driving maneuvers

    N. Kaempchen;K. Weiss;M. Schaefer;K.C.J. Dietmayer

  • Instantaneous ego-motion estimation using Doppler radar

    Dominik Kellner;Michael Barjenbruch;Jens Klappstein;Jurgen Dickmann

  • Model-Based Object Classification and Object tracking in Traffic Scenes from range-Images

    K. C. Dietmayer

  • Lane detection and street type classification using laser range images

    J. Sparbert;K. Dietmayer;D. Streller

  • Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling

    Stefan Hoermann;Martin Bach;Klaus Dietmayer

  • Uncertainty Estimation in One-Stage Object Detection

    Florian Kraus;Klaus Dietmayer

  • Robust Driving Path Detection in Urban and Highway Scenarios Using a Laser Scanner and Online Occupancy Grids

    T. Weiss;B. Schiele;K. Dietmayer

  • METHOD FOR CALIBRATING DISTANCE IMAGE SENSOR

    Kaempchen Nico;Buehler Matthias;Dietmayer Klaus;Lages Ulrich

  • A random finite set approach for dynamic occupancy grid maps with real-time application

    Dominik Nuss;Stephan Reuter;Markus Thom;Ting Yuan

  • Car2X-based perception in a high-level fusion architecture for cooperative perception systems

    Andreas Rauch;Felix Klanner;Ralph Rasshofer;Klaus Dietmayer

Frequent Co-Authors

Christoph Stiller
Christoph Stiller Karlsruhe Institute of Technology
Felix Heide
Felix Heide Princeton University
Ba-Tuong Vo
Ba-Tuong Vo Curtin University
Bernhard Sick
Bernhard Sick University of Kassel
Ba-Ngu Vo
Ba-Ngu Vo Curtin University
Wolfgang Minker
Wolfgang Minker University of Ulm
Klaus Bengler
Klaus Bengler Technical University of Munich
Michael Weber
Michael Weber University of Ulm
Friedhelm Schwenker
Friedhelm Schwenker University of Ulm
Masayoshi Tomizuka
Masayoshi Tomizuka University of California, Berkeley

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