Synonyme wurden verwendet für: autonomous systems
Suche ohne Synonyme: title: Intelligent autonomous systems

1–29 von 29 Ergebnissen
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    What can we Learn from Virtual Sensor Models for Self Localization and Mapping for Autonomous Mobile Systems?

    Ochs, Sven / Percin, Tolgahan / Samuelis, Christian et al. | IEEE | 2023
    Simulation environments for autonomous mobile robots often include simplified sensors and associated environment models. The output of ...

    Autonomous multi-story navigation for valet parking

    Klemm, Sebastian / Essinger, Marc / Oberlander, Jan et al. | IEEE | 2016
    Electric mobility combined with recent advances in autonomous driving provides a solution to the environmental and traffic challenges of ...

    Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey

    Bogdoll, Daniel / Uhlemeyer, Svenja / Kowol, Kamil et al. | IEEE | 2023
    Deep neural networks (DNN) which are employed in perception systems for autonomous driving require a huge amount of data to train on, as ...

    Integrating end-to-end learned steering into probabilistic autonomous driving

    Hubschneider, Christian / Bauer, Andre / Doll, Jens et al. | IEEE | 2017
    algorithm for autonomous driving. A convolutional neural network is trained based on monocular image data to predict prospective steering angles. By ...

    Robust environment perception for the Audi Autonomous Driving Cup

    Kuhnt, Florian / Pfeiffer, Micha / Zimmer, Peter et al. | IEEE | 2016
    One of the biggest challenges towards fully automated driving is achieving robustness. Autonomous vehicles will have to fully recognize ...

    Infra2Go: A Mobile Development Platform for Connected, Cooperative and Autonomous Driving

    Fleck, Tobias / Jauernig, Lennart / Polley, Rupert et al. | IEEE | 2022
    Connected, cooperative autonomous driving and mobility promises increased comfort and safety for public transportation and logistics in ...

    Lane-precise localization of intelligent vehicles using the surrounding object constellation

    Kuhnt, Florian / Orf, Stefan / Klemm, Sebastian et al. | IEEE | 2016
    Advanced Driver Assistance Systems (ADAS) towards autonomous driving require an ego vehicle localization on maps to be able to use the map ...

    Traffic Participants in the Loop: A Mixed Reality-Based Interaction Testbed for the Verification and Validation of Autonomous Vehicles

    Zofka, Marc Rene / Ulbrich, Stefan / Karl, Daniel et al. | IEEE | 2018
    In order to verify and validate autonomous vehicles, testbeds integrating the whole system from perception to actuation are necessary ...

    From Traffic Sensor Data To Semantic Traffic Descriptions: The Test Area Autonomous Driving Baden-Württemberg Dataset (TAF-BW Dataset)

    Zipfl, Maximilian / Fleck, Tobias / Zofka, Marc Rene et al. | IEEE | 2020
    models that can be used to evaluate in-vehicle perception systems as well as decision making modules.We present the Test Area Autonomous Driving ...

    Paving the Ways for Vehicles-in-the-loop: Wireless Integration of Autonomous Vehicles into Mixed Reality Proving Grounds and Test Areas

    Zofka, Marc Rene / Fleck, Tobias / Schorner, Philip et al. | IEEE | 2023
    and real-life testing by challenging the autonomous vehicle with critical scenarios in a risk-less way. Whereas actual research focuses on the ...

    Performance bounds on change detection with application to manoeuvre recognition for advanced driver assistance systems

    Stellet, Jan Erik / Schumacher, Jan / Branz, Wolfgang et al. | IEEE | 2015
    autonomous driving. While many works propose algorithms for (computationally feasible) inference, much less attention is paid to finding analytic ...

    CNN based Multi-View Object Detection and Association

    Weber, Michael / Volkert, Lucas / Hubschneider, Christian et al. | IEEE | 2019
    applications of our system are currently test areas for autonomous vehicles. For this use case ground truth information for testing the environment ...

    HDTLR: A CNN based Hierarchical Detector for Traffic Lights

    Weber, Michael / Huber, Matthias / Zollner, J. Marius | IEEE | 2018
    Reliable traffic light detection is one crucial key component for autonomous driving in urban areas. This includes the extraction of ...

    Calibrating Uncertainty Models for Steering Angle Estimation

    Hubschneider, Christian / Hutmacher, Robin / Zollner, J. Marius | IEEE | 2019
    autonomous vehicles, they need to reason about decisions or at least provide an additional measure of confidence that captures the uncertainty of the ...

    Direct Geometrical Map to Low-Level Grid Map Registration for Robust Online Localization

    Berger, Ulrich / Orf, Stefan / Muffert, Maximilian et al. | IEEE | 2018
    In autonomous driving, robustness and precision can be increased through additional information sources in the form of prior maps. To ...

    SERALOC: SLAM on semantically annotated radar point-clouds

    Isele, Simon T. / Haas-Fickinger, Fabian / Zollner, J. Marius | IEEE | 2021
    Localization for Autonomous Driving is mainly researched on camera and LiDAR data, rarely on radar data. Applying a point cloud pose graph ...

    Survey and Design Concept for Control Centers of Automated Vehicle Fleets

    Gontscharow, Martin / Schotschneider, Albert / Orf, Stefan et al. | IEEE | 2023
    Control centers for automated vehicle fleets (CC-AVFs) are pivotal in enabling autonomous driving at a large scale. This work conducts a ...

    Hybrid curvature steer: A novel extend function for sampling-based nonholonomic motion planning in tight environments

    Banzhaf, Holger / Palmieri, Luigi / Nienhuser, Dennis et al. | IEEE | 2017
    Finding optimal paths for self-driving cars in cluttered environments is one of the major challenges in autonomous driving. The complexity ...

    Traffic Light Recognition using Convolutional Neural Networks: A Survey

    Pavlitska, Svetlana / Lambing, Nico / Bangaru, Ashok Kumar et al. | IEEE | 2023
    Real-time traffic light recognition is essential for autonomous driving. Yet, a cohesive overview of the underlying model architectures for ...

    The Fingerprint of a Traffic Situation: A Semantic Relationship Tensor for Situation Description and Awareness

    Petrich, Dominik / Azarfar, Darius / Kuhnt, Florian et al. | IEEE | 2018
    Many modern approaches for autonomous vehicles are still limited to a low-level data representation without considering complex relational ...

    Particle filter map matching and trajectory prediction using a spline based intersection model

    Kuhnt, Florian / Kohlhaas, Ralf / Jordan, Rudiger et al. | IEEE | 2014
    For Advanced Driver Assistance Systems and Autonomous Driving it is of major advantage to know future trajectories of traffic participants ...

    Learning temporal features with CNNs for monocular visual ego motion estimation

    Weber, Michael / Rist, Christoph / Zollner, J. Marius | IEEE | 2017
    foundation for systems dealing with temporal information. As the architectures reach real time inference time, they can be applied in domains like ...

    Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions

    Grimm, Daniel / Zipfl, Maximilian / Hertlein, Felix et al. | IEEE | 2023
    Precisely predicting the future trajectories of surrounding traffic participants is a crucial but challenging problem in autonomous driving ...

    Feasibility and Suppression of Adversarial Patch Attacks on End-to-End Vehicle Control

    Pavlitskaya, Svetlana / Unver, Sefa / Zollner, J. Marius | IEEE | 2020
    attacks to compromise the security of autonomous vehicles have been only sparsely studied so far.We demonstrate and evaluate such attacks in the ...

    Adding navigation to the equation: Turning decisions for end-to-end vehicle control

    Hubschneider, Christian / Bauer, Andre / Weber, Michael et al. | IEEE | 2017
    Navigation and obstacle avoidance are two problems that are not easily incorporated into direct control of autonomous vehicles solely based ...

    Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios

    Zipfl, Maximilian / Spickermann, Sven / Zollner, J. Marius | IEEE | 2023
    Autonomous vehicles hold great promise in improving the future of transportation. The driving models used in these vehicles are based on ...

    Direct 3D Detection of Vehicles in Monocular Images with a CNN based 3D Decoder

    Weber, Michael / Furst, Michael / Zollner, J. Marius | IEEE | 2019
    In autonomous driving, the detection of objects like surrounding vehicles based on monocular RGB images is usually performed by 2D bounding ...

    Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB Images

    Gahlert, Nils / Wan, Jun-Jun / Weber, Michael et al. | IEEE | 2019
    The representation of objects as 2D bounding boxes in monocular RGB images limits the faculty of current computer vision systems to 2D ...

    Predictive Trajectory Planning in Situations with Hidden Road Users Using Partially Observable Markov Decision Processes

    Schorner, Philip / Tottel, Lars / Doll, Jens et al. | IEEE | 2019
    State of the art emergency brake assistant systems solely based on sensor measurements reduced the number of traffic accidents and ...