Scenario understanding and motion prediction for autonomous vehicles—review and comparison
Scenario understanding and motion prediction are essential components for completely
replacing human drivers and for enabling highly and fully automated driving (SAE-Level …
replacing human drivers and for enabling highly and fully automated driving (SAE-Level …
A taxonomy and review of algorithms for modeling and predicting human driver behavior
K Brown, K Driggs-Campbell… - arXiv preprint arXiv …, 2020 - arxiv.org
We present a review and taxonomy of 200 models from the literature on driver behavior
modeling. We begin by introducing a mathematical framework for describing the dynamics of …
modeling. We begin by introducing a mathematical framework for describing the dynamics of …
Bayesian environment representation, prediction, and criticality assessment for driver assistance systems
M Schreier - at-Automatisierungstechnik, 2017 - degruyter.com
The dissertation approaches the questions i) how to represent the driving environment in an
environment model, ii) how to obtain such a representation, and iii) how to predict the traffic …
environment model, ii) how to obtain such a representation, and iii) how to predict the traffic …
Estimation of collective maneuvers through cooperative multi-agent planning
J Schulz, K Hirsenkorn, J Löchner… - 2017 IEEE Intelligent …, 2017 - ieeexplore.ieee.org
In order to determine a cooperative driving strategy, it is beneficial for an autonomous
vehicle to incorporate the intended motion of surrounding vehicles within its own motion …
vehicle to incorporate the intended motion of surrounding vehicles within its own motion …
Generating comfortable, safe and comprehensible trajectories for automated vehicles in mixed traffic
While motion planning approaches for automated driving often focus on safety and
mathematical optimality with respect to technical parameters, they barely consider …
mathematical optimality with respect to technical parameters, they barely consider …
Understanding interactions between traffic participants based on learned behaviors
Predicting vehicles' behaviors in a traffic scene can be very challenging due to many
influences. Especially interactions with other traffic participants like vehicles or pedestrians …
influences. Especially interactions with other traffic participants like vehicles or pedestrians …
Probabilistic situation assessment framework for multiple, interacting traffic participants in generic traffic scenes
Situation recognition is a prerequisite for many advanced driver assistance systems as well
as for partially and fully automated vehicles. Current situation recognition approaches focus …
as for partially and fully automated vehicles. Current situation recognition approaches focus …
[图书][B] Information Fusion Under Consideration of Conflicting Input Signals
U Mönks - 2017 - Springer
Sensors, and also actuators or external sources such as databases serve as data sources in
order to realise condition monitoring of industrial applications or the acquisition of …
order to realise condition monitoring of industrial applications or the acquisition of …
Path-Constrained State Estimation for Rail Vehicles
Globally rising demand for transportation by rail is pushing existing infrastructure to its
capacity limits, necessitating the development of accurate, robust, and high-frequency …
capacity limits, necessitating the development of accurate, robust, and high-frequency …
Multi-classification of driver intentions in yielding scenarios
E Ward, J Folkesson - 2015 IEEE 18th International Conference …, 2015 - ieeexplore.ieee.org
Predictions of the future motion of other vehicles in the vicinity of an autonomous vehicle is
required for safe operation on trafficked roads. An important step in order to use proper …
required for safe operation on trafficked roads. An important step in order to use proper …