Results 1 to 10 of about 3,868,885 (216)

Customized Co-Simulation Environment for Autonomous Driving Algorithm Development and Evaluation [PDF]

arXiv, 2023
Increasing the implemented SAE level of autonomy in road vehicles requires extensive simulations and verifications in a realistic simulation environment before proving ground and public road testing. The level of detail in the simulation environment helps ensure the safety of a real-world implementation and reduces algorithm development cost by ...
arxiv  

Pedestrian Simulation: A Review [PDF]

arXiv, 2021
This article focuses on different aspects of pedestrian (crowd) modeling and simulation. The review includes: various modeling criteria, such as granularity, techniques, and factors involved in modeling pedestrian behavior, and different pedestrian simulation methods with a more detailed look at two approaches for simulating pedestrian behavior in ...
arxiv  

Task-sequencing Simulator: Integrated Machine Learning to Execution Simulation for Robot Manipulation [PDF]

arXiv, 2023
A task-sequencing simulator in robotics manipulation to integrate simulation-for-learning and simulation-for-execution is introduced. Unlike existing machine-learning simulation where a non-decomposed simulation is used to simulate a training scenario, the task-sequencing simulator runs a composed simulation using building blocks.
arxiv  

GzScenic: Automatic Scene Generation for Gazebo Simulator [PDF]

arXiv, 2021
Testing robotic and cyberphysical systems in simulation require specifications of the simulated environments (i.e., scenes). The Scenic domain-specific language provides a high-level probabilistic programming language that allows users to specify scenarios for simulation. Scenic automatically generates concrete scenes that can be rendered by simulators.
arxiv  

Simulation model of spacetime with the Minkowski metric [PDF]

arXiv, 2020
In this paper, we propose a simulation model of spacetime as a discrete model of physical space. The model is based on the ideas of Stephen Wolfram and uses non-numerical modelling. The simulation model is described as an ontology. We use object-oriented simulation (OOS), but the model is also suitable for agent-based simulation (ABS).
arxiv  

Model Bridging: Connection between Simulation Model and Neural Network [PDF]

arXiv, 2019
The interpretability of machine learning, particularly for deep neural networks, is crucial for decision making in real-world applications. One approach is replacing the un-interpretable machine learning model with a surrogate model, which has a simple structure for interpretation.
arxiv  

A Concept for Semi-Automatic Configuration of Sufficiently Valid Simulation Setups for Automated Driving Systems [PDF]

2024 IEEE 27th International Conference on Intelligent Transportation Systems, Edmonton, Canada, 2024, pp. 2042-2049
As simulation is increasingly used in scenario-based approaches to test Automated Driving Systems, the credibility of simulation results is a major concern. Arguably, credibility depends on the validity of the simulation setup and simulation models. When selecting appropriate simulation models, a trade-off must be made between validity, often connected
arxiv   +1 more source

Traffic flow brake light model simulation based on driver behavior learning [PDF]

arXiv, 2021
The theory of urban traffic flow has been developed and new types of meta-automata have emerged and simulate realistic traffic conditions relatively well. Among these models, the brake light model can simulate the three-phase traffic flow theory very well.
arxiv  

Hybrid Simulation Safety: Limbos and Zero Crossings [PDF]

arXiv, 2017
Physical systems can be naturally modeled by combining continuous and discrete models. Such hybrid models may simplify the modeling task of complex system, as well as increase simulation performance. Moreover, modern simulation engines can often efficiently generate simulation traces, but how do we know that the simulation results are correct?
arxiv  

An Artifact-based Workflow for Finite-Element Simulation Studies [PDF]

arXiv, 2020
Workflow support typically focuses on single simulation experiments. This is also the case for simulation based on finite element methods. If entire simulation studies shall be supported, flexible means for intertwining revising the model, collecting data, executing and analyzing experiments are required.
arxiv