Search Results - "Klanner, Felix"

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  1. 1

    Driver intent inference at urban intersections using the intelligent driver model by Liebner, Martin, Baumann, Michael, Klanner, Felix, Stiller, Christoph

    Published in 2012 IEEE Intelligent Vehicles Symposium (01-06-2012)
    “…Predicting turn and stop maneuvers of potentially errant drivers is a basic requirement for advanced driver assistance systems for urban intersections…”
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    Conference Proceeding
  2. 2

    Modeling hierarchical category transition for next POI recommendation with uncertain check-ins by Zhang, Lu, Sun, Zhu, Zhang, Jie, Kloeden, Horst, Klanner, Felix

    Published in Information sciences (01-04-2020)
    “…•A new research problem of predicting next individual POIs with uncertain check-ins at collective POIs.•A novel framework exploits hierarchical category…”
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    Journal Article
  3. 3

    Car2X-based perception in a high-level fusion architecture for cooperative perception systems by Rauch, Andreas, Klanner, Felix, Rasshofer, Ralph, Dietmayer, Klaus

    Published in 2012 IEEE Intelligent Vehicles Symposium (01-06-2012)
    “…In cooperative perception systems, different vehicles share object data obtained by their local environment perception sensors, like radar or lidar, via…”
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    Conference Proceeding
  4. 4

    Active safety for vulnerable road users based on smartphone position data by Liebner, Martin, Klanner, Felix, Stiller, Christoph

    “…Smartphones have long become an omnipresent part of our life. Equipped with both a broadband internet connection and advanced GPS onboard sensors, the idea is…”
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    Conference Proceeding
  5. 5

    Automated Intersection Mapping From Crowd Trajectory Data by Ruhhammer, Christian, Baumann, Michael, Protschky, Valentin, Kloeden, Horst, Klanner, Felix, Stiller, Christoph

    “…Driver assistance systems and automated driving are known to strongly benefit from digital maps. Keeping map attributes up to date is a challenge, particularly…”
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    Journal Article
  6. 6

    Analysis of V2X communication parameters for the development of a fusion architecture for cooperative perception systems by Rauch, Andreas, Klanner, Felix, Dietmayer, Klaus

    “…In cooperative perception systems, different vehicles share object data obtained by their local environment perception sensors, like radar or lidar, via…”
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    Conference Proceeding
  7. 7

    Crowdsourced intersection parameters: A generic approach for extraction and confidence estimation by Ruhhammer, Christian, Hirsenkorn, Nils, Klanner, Felix, Stiller, Christoph

    “…Digital maps within cars are not only the basis for navigation but also for advanced driver assistance systems. Therefore more and more up-to-date details…”
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    Conference Proceeding
  8. 8

    Driver Drowsiness Detection Based on Novel Eye Openness Recognition Method and Unsupervised Feature Learning by Wei Han, Yan Yang, Guang-Bin Huang, Sourina, Olga, Klanner, Felix, Denk, Cornelia

    “…In this paper, we proposed a driver drowsiness detection method for which only eyelid movement information was required. The proposed method consists of two…”
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    Conference Proceeding
  9. 9

    Route and Stopping Intent Prediction at Intersections From Car Fleet Data by Gross, Florian, Jordan, Justus, Weninger, Felix, Klanner, Felix, Schuller, Bjorn

    Published in IEEE transactions on intelligent vehicles (01-06-2016)
    “…In this paper, an approach is presented to predict the route and stopping intent of human-driven vehicles at urban intersections using a selection of…”
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    Journal Article
  10. 10

    An Accurate Solution to the Cardinality-Based Punctuality Problem by Cao, Zhiguang, Wu, Yaoxin, Rao, Akshay, Klanner, Felix, Erschen, Stefan, Chen, Wei, Zhang, Le, Guo, Hongliang

    “…This paper focuses on a specific stochastic shortest path (SSP) problem, namely the punctuality problem. It aims to determine a path that maximizes the…”
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    Journal Article
  11. 11

    A Simulation Environment for Evaluation of Routing Algorithms for Improvement of Electromobility Related Services by Rao, Akshay, Cao, Zhiguang, Klanner, Felix

    “…This paper describes the formulation and simulation of an optimization algorithm for a remote valet charging service for electric vehicles in Singapore. The…”
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    Journal Article
  12. 12

    Inter-vehicle object association for cooperative perception systems by Rauch, Andreas, Maier, Stefan, Klanner, Felix, Dietmayer, Klaus

    “…In cooperative perception systems, different vehicles share object data obtained by their local environment perception sensors, like radar or lidar, via…”
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    Conference Proceeding
  13. 13

    Velocity-Based Driver Intent Inference at Urban Intersections in the Presence of Preceding Vehicles by Liebner, M., Klanner, F., Baumann, M., Ruhhammer, C., Stiller, C.

    “…Predicting turn and stop maneuvers of potentially errant drivers is a basic requirement for advanced driver assistance systems for urban intersections…”
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    Journal Article
  14. 14

    Vehicle mass estimation based on vehicle vertical dynamics using a multi-model filter by Jordan, Justus, Hirsenkorn, Nils, Klanner, Felix, Kleinsteuber, Martin

    “…Vehicle mass estimation is an important task to compute the input parametrization for various advanced driver assistance systems. Further, detecting when a…”
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    Conference Proceeding
  15. 15

    Generic driver intent inference based on parametric models by Liebner, Martin, Ruhhammer, Christian, Klanner, Felix, Stiller, Christoph

    “…Reasoning about the driver intent is fundamental both to advanced driver assistance systems as well as to highly automated driving. In contrast to the vast…”
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    Conference Proceeding
  16. 16

    Cluster Regularized Extreme Learning Machine for Detecting Mixed-Type Distraction in Driving by Liu, Tianchi, Yang, Yan, Huang, Guang-Bin, Lin, Zhiping, Klanner, Felix, Denk, Cornelia, Rasshofer, Ralph H.

    “…Distraction was previously studied within each dimension separately, i.e., physical, cognitive and visual. However real-world activities usually involve…”
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    Conference Proceeding Journal Article
  17. 17
  18. 18

    Estimating vigilance from EEG using manifold clustering guided by instantaneous lapse rate by Haoqi Sun, Yan Yang, Sourina, Olga, Guang-Bin Huang, Klanner, Felix, Denk, Cornelia, Rasshofer, Ralph H.

    “…Vigilance decrement happens in prolonged and monotonous tasks such as driving, therefore efficient estimation of vigilance using machine learning becomes a…”
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    Conference Proceeding