Search Results - Maehlisch, Mirko

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  1. 1
    Evolutionary Image Quality Monitoring for ADAS under Adverse Weather

    Evolutionary Image Quality Monitoring for ADAS under Adverse Weather by Gonzalez, Juan D., Maehlisch, Mirko

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  2. 2
    Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors

    Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors by Reich, Andreas, Maehlisch, Mirko

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  3. 3
    The Good, the Sparse, and the Ugly: Investigating the Impact of Corrupted HD-Map Features on Ego-Vehicle Localization

    The Good, the Sparse, and the Ugly: Investigating the Impact of Corrupted HD-Map Features on Ego-Vehicle Localization by Beer, Lukas, Luettel, Thorsten, Maehlisch, Mirko

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  4. 4
    Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors

    Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors by Reich, Andreas, Maehlisch, Mirko

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  5. 5
    Know Your Maps: Uncertainty-Aware Semantic LiDAR Localization with Dual Maps

    Know Your Maps: Uncertainty-Aware Semantic LiDAR Localization with Dual Maps by Beer, Lukas, Luettel, Thorsten, Maehlisch, Mirko

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  6. 6
    Survey on Datasets for Perception in Unstructured Outdoor Environments

    Survey on Datasets for Perception in Unstructured Outdoor Environments by Mortimer, Peter, Maehlisch, Mirko

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  7. 7
    Vehicle Control in GNSS-Denied Environments Using Map-Based Localization and Model Predictive Control

    Vehicle Control in GNSS-Denied Environments Using Map-Based Localization and Model Predictive Control by Beer, Lukas, Bienemann, Alexander, Luettel, Thorsten, Maehlisch, Mirko

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  8. 8
    Dynamic level of detail 3D occupancy grids for automotive use

    Dynamic level of detail 3D occupancy grids for automotive use by Schmid, Matthias R., Maehlisch, Mirko, Dickmann, Juergen, Wuensche, Hans-Joachim

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  9. 9
    De-cluttering with Integrated Probabilistic Data Association for Multisensor Multitarget ACC Vehicle Tracking

    De-cluttering with Integrated Probabilistic Data Association for Multisensor Multitarget ACC Vehicle Tracking by Maehlisch, Mirko, Ritter, Werner, Dietmayer, Klaus

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  10. 10
    Reliable automotive pre-crash system with out-of-sequence measurement processing

    Reliable automotive pre-crash system with out-of-sequence measurement processing by Muntzinger, Marc M., Aeberhard, Michael, Zuther, Sebastian, Mahlisch, Mirko, Schmid, Matthias, Dickmann, Jurgen, Dietmayer, Klaus

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  11. 11
    Collision Probability Distribution Estimation via Temporal Difference Learning

    Collision Probability Distribution Estimation via Temporal Difference Learning by Steinecker, Thomas, Luettel, Thorsten, Maehlisch, Mirko

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  12. 12
    Sensorfusion Using Spatio-Temporal Aligned Video and Lidar for Improved Vehicle Detection

    Sensorfusion Using Spatio-Temporal Aligned Video and Lidar for Improved Vehicle Detection by Mahlisch, M., Schweiger, R., Ritter, W., Dietmayer, K.

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  13. 13
    Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems

    Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems by Munz, Michael, Mahlisch, Mirko, Dickmann, Jurgen, Dietmayer, Klaus

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  14. 14
    Generic Centralized Multi Sensor Data Fusion Based on Probabilistic Sensor and Environment Models for Driver Assistance Systems

    Generic Centralized Multi Sensor Data Fusion Based on Probabilistic Sensor and Environment Models for Driver Assistance Systems by Munz, Michael, Mählisch, M, Dietmayer, K

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  15. 15
    Towards a unified architecture for mapping static environments

    Towards a unified architecture for mapping static environments by Kubertschak, Tim, Maehlisch, Mirko, Wuensche, Hans-Joachim

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  16. 16
    Realtime Vision Based Multi-Target-Tracking with Particle Filters in Automotive Applications

    Realtime Vision Based Multi-Target-Tracking with Particle Filters in Automotive Applications by Idler, C., Schweiger, R., Paulus, D., Mdhlisch, M., Ritter, W.

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  17. 17
    Multisensor Vehicle Tracking with the Probability Hypothesis Density Filter

    Multisensor Vehicle Tracking with the Probability Hypothesis Density Filter by Maehlisch, M., Schweiger, R., Ritter, W., Dietmayer, K.

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