Search Results - "Dietmayer, Klaus"

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  1. 1

    Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges by Feng, Di, Haase-Schutz, Christian, Rosenbaum, Lars, Hertlein, Heinz, Glaser, Claudius, Timm, Fabian, Wiesbeck, Werner, Dietmayer, Klaus

    “…Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate scene understanding, autonomous…”
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    Journal Article
  2. 2

    Point Transformer by Engel, Nico, Belagiannis, Vasileios, Dietmayer, Klaus

    Published in IEEE access (2021)
    “…In this work, we present Point Transformer, a deep neural network that operates directly on unordered and unstructured point sets. We design Point Transformer…”
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    Journal Article
  3. 3

    A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving by Feng, Di, Harakeh, Ali, Waslander, Steven L., Dietmayer, Klaus

    “…Capturing uncertainty in object detection is indispensable for safe autonomous driving. In recent years, deep learning has become the de-facto approach for…”
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    Journal Article
  4. 4

    Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather by Bijelic, Mario, Gruber, Tobias, Mannan, Fahim, Kraus, Florian, Ritter, Werner, Dietmayer, Klaus, Heide, Felix

    “…The fusion of multimodal sensor streams, such as camera, lidar, and radar measurements, plays a critical role in object detection for autonomous vehicles,…”
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    Conference Proceeding
  5. 5

    A random finite set approach for dynamic occupancy grid maps with real-time application by Nuss, Dominik, Reuter, Stephan, Thom, Markus, Yuan, Ting, Krehl, Gunther, Maile, Michael, Gern, Axel, Dietmayer, Klaus

    “…Grid mapping is a well-established approach for environment perception in robotic and automotive applications. Early work suggests estimating the occupancy…”
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    Journal Article
  6. 6

    Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods by Nuhic, Adnan, Terzimehic, Tarik, Soczka-Guth, Thomas, Buchholz, Michael, Dietmayer, Klaus

    Published in Journal of power sources (01-10-2013)
    “…The accurate estimation of state of health (SOH) and a reliable prediction of the remaining useful life (RUL) of Lithium-ion (Li-ion) batteries in hybrid and…”
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    Journal Article
  7. 7

    State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation by Remmlinger, Jürgen, Buchholz, Michael, Meiler, Markus, Bernreuter, Peter, Dietmayer, Klaus

    Published in Journal of power sources (15-06-2011)
    “…For reliable and safe operation of lithium-ion batteries in electric or hybrid vehicles, diagnosis of the cell degradation is necessary. This can be achieved…”
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    Journal Article Conference Proceeding
  8. 8

    GenRadar: Self-Supervised Probabilistic Camera Synthesis Based on Radar Frequencies by Ditzel, Carsten, Dietmayer, Klaus

    Published in IEEE access (2021)
    “…Autonomous systems require a continuous and dependable environment perception for navigation and decision-making, which is best achieved by combining different…”
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    Journal Article
  9. 9

    Grid-based DBSCAN for clustering extended objects in radar data by Kellner, Dominik, Klappstein, Jens, Dietmayer, Klaus

    Published in 2012 IEEE Intelligent Vehicles Symposium (01-06-2012)
    “…The online observation using high-resolution radar of a scene containing extended objects imposes new requirements on a robust and fast clustering algorithm…”
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    Conference Proceeding
  10. 10

    Battery Health Monitoring and Degradation Prognosis in Fleet Management Systems by Nuhic, Adnan, Bergdolt, Jonas, Spier, Bernd, Buchholz, Michael, Dietmayer, Klaus

    Published in World electric vehicle journal (29-08-2018)
    “…Today, fleet management systems with battery health monitoring capabilities are in the focus more than ever. This paper addresses the development of a novel…”
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    Journal Article
  11. 11

    Detecting Traffic Lights by Single Shot Detection by Muller, Julian, Dietmayer, Klaus

    “…Recent improvements in object detection are driven by the success of convolutional neural networks (CNN). They are able to learn rich features outperforming…”
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    Conference Proceeding
  12. 12

    Multi-sensor self-localization based on Maximally Stable Extremal Regions by Deusch, Hendrik, Wiest, Juurgen, Reuter, Stephan, Nuss, Dominik, Fritzsche, Martin, Dietmayer, Klaus

    “…This contribution presents a precise localization method for advanced driver assistance systems. A Maximally Stable Extremal Region (MSER) detector is used to…”
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    Conference Proceeding
  13. 13

    Tracking Multiple Vehicles Using a Variational Radar Model by Scheel, Alexander, Dietmayer, Klaus

    “…High-resolution radar sensors are able to resolve multiple detections per object and, therefore, provide valuable information for vehicle environment…”
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    Journal Article
  14. 14

    The Labeled Multi-Bernoulli Filter by Reuter, Stephan, Vo, Ba-Tuong, Vo, Ba-Ngu, Dietmayer, Klaus

    Published in IEEE transactions on signal processing (15-06-2014)
    “…This paper proposes a generalization of the multi- Bernoulli filter called the labeled multi-Bernoulli filter that outputs target tracks. Moreover, the labeled…”
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    Journal Article
  15. 15

    The Labeled Multi-Bernoulli SLAM Filter by Deusch, Hendrik, Reuter, Stephan, Dietmayer, Klaus

    Published in IEEE signal processing letters (01-10-2015)
    “…In this contribution, a new algorithm addressing the simultaneous localization and mapping (SLAM) problem is proposed: a Rao-Blackwellized implementation of…”
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    Journal Article
  16. 16

    Deep Convolutional Traffic Light Recognition for Automated Driving by Bach, Martin, Stumper, Daniel, Dietmayer, Klaus

    “…Robust traffic light detection and state recognition is of crucial importance on the path to automated vehicles. However, the mere classification of the…”
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    Conference Proceeding
  17. 17

    Matching highly accurate maps to local environmental perception at road construction sites by Wimmer, Andreas, Graf, Regine, Dietmayer, Klaus C. J.

    “…Detailed and highly accurate digital maps provide useful information for future driver assistance systems. The information of the positions of infrastructure…”
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    Conference Proceeding
  18. 18

    The Ko-PER intersection laserscanner and video dataset by Strigel, Elias, Meissner, Daniel, Seeliger, Florian, Wilking, Benjamin, Dietmayer, Klaus

    “…Public intersections are due to their complexity challenging locations for drivers. Therefore the german joint project Ko-PER - which is part of the project…”
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    Conference Proceeding
  19. 19

    Extending Onboard Sensor Information by Wireless Communication by Wender, Stefan, Dietmayer, Klaus C. J.

    Published in 2007 IEEE Intelligent Vehicles Symposium (01-06-2007)
    “…New algorithms for the integration of data, which is obtained by wireless communication, in an onboard sensor based vehicle environment model are introduced…”
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    Conference Proceeding
  20. 20

    A Feature Level Fusion Approach for Object Classification by Wender, Stefan, Dietmayer, Klaus C. J.

    Published in 2007 IEEE Intelligent Vehicles Symposium (01-06-2007)
    “…A new feature level fusion approach for object classification is introduced. The system is implemented to fuse sensor data of a laser scanner and a video…”
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    Conference Proceeding