The Simulation Strategy and Its Realization in the Development Process of Active Safety and Advanced Driver Assistance Systems

Skruch, Paweł; Długosz, Rafał; Kogut, Krzysztof; Markiewicz, Paweł; Sasin, Dominik; Różewicz, Maciej

doi:10.4271/2015-01-1401

Cited by 20 publications

(4 citation statements)

References 3 publications

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“…In current projects intended to develop system components for series production, the data collection process is performed in actual road traffic. This is called RWUP (Real-World User Profile) scenarios [60]. At the initial stages of the project, this involves a ride in so-called open-loop settings.…”

Section: A Real World User Profile (Rwup) Datamentioning

confidence: 99%

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Intelligent Data Handling in Current and Next-Generation Automated Vehicle Development—A Review

Komorkiewicz¹,

Chin

Skruch

et al. 2023

IEEE Access

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The higher the vehicle autonomy level is, the more the problems that need to be solved by engineers designing its sensors and control systems. Apart from the mechanical, electrical, algorithmic and validation challenges, such projects require to efficiently gather, store and handle the very large amounts of data logged from the vehicles. This is because the key functionalities of the control system in automated vehicles are based on data that is collected from a variety of sources, processed and analyzed to generate actuation signals. The article goes through the challenges, opportunities as well as solutions associated with data logging, collection, storage, annotation, reprocessing and evaluation. It highlights that effective and efficient data handling is an essential element for obtaining the required performance, reliability, safety and quality capabilities that would allow the mass production of automated vehicles. In terms of the safety of passengers and other road users, the behavior of a mass-produced automated vehicle must be predictable and more reliable than that of an ordinary driver. The multitude of variants that test sequences must cover is practically endless. Therefore, shortening the time-to-market to an acceptable length is only possible if you use the right methods of working with data.

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Section: A Real World User Profile (Rwup) Datamentioning

confidence: 99%

“…In order to reduce the need for repetition of test drives for each software release, a common approach is to record data only once and reuse it later virtually. The technique to use RWUP for incoming software releases is called re-simulation (ReSim) [60].…”

Section: Data Usage -Resimulationmentioning

confidence: 99%

Intelligent Data Handling in Current and Next-Generation Automated Vehicle Development—A Review

Komorkiewicz¹,

Chin

Skruch

et al. 2023

IEEE Access

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“…The evaluation of a map is currently often carried out by visual inspection, leading to highly subjective results [ 9 , 10 ]. Another evaluation method for the occupancy grids is using cell-wise binary comparisons with the reference maps [ 11 , 12 , 13 ]. This approach is useful in grid development; nonetheless, it already contains a decision-making binarisation process, which may alter the results of the assessment.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of the Highway Radar Occupancy Grid

Porębski

Kogut²

2021

Sensors

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The quality of environmental perception is crucial for automated vehicle capabilities. In order to ensure the required accuracy, the occupancy grid mapping algorithm is often utilised to fuse data from multiple sensors. This paper focuses on the radar-based occupancy grid for highway applications and describes how to measure effectively the quality of the occupancy map. The evaluation was performed using the novel grid pole-like object analysis method. The proposed assessment is versatile and can be applied without detailed ground truth information. The evaluation was tested with a simulation and real vehicle experiments on the highway.

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“…Primary novel aspect of the discussed experiments and research is reflected by application of virtual validation environment to obtain data driven comparison of fusion methods. Simulation techniques, on the contrary to real world or staged tests allow for rapid tuning, configuration, parametrization, and execution of the test portfolio [5], as well as rapid reference data generation. The disadvantages of virtual methodologies however mainly suffer from limited physical realism of both tests and modeled perception equipment.…”

Section: Introductionmentioning

confidence: 99%

Developing Occupancy Grid with Automotive Simulation Environment

Markiewicz

Porębski

2020

Applied Sciences

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This study presents the process employed in prototyping and early evaluation of automotive perception algorithms. The data generation was performed using an automotive virtual validation tool. The off-the-shelf simulation framework used was expanded to include phenomenological sensors model that allowed for a simplified simulation of radars, lidars, and cameras. This paper extends the description of the methods for the generation of control algorithms. The work presented also includes a description of relevant data fusion methods for building occupancy grids. Results were obtained by performing a comparison of algorithm results against ground-truth. This virtual validation was used to enable early definition and verification of system-level requirements, narrow down performance assessment methods, and identify performance limitations before data from real sensors are available.

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The Simulation Strategy and Its Realization in the Development Process of Active Safety and Advanced Driver Assistance Systems

Cited by 20 publications

References 3 publications

Intelligent Data Handling in Current and Next-Generation Automated Vehicle Development—A Review

Intelligent Data Handling in Current and Next-Generation Automated Vehicle Development—A Review

Performance Evaluation of the Highway Radar Occupancy Grid

Developing Occupancy Grid with Automotive Simulation Environment

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