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Realistic 3D Simulators for Automotive: A Review of Main Applications and Features

Sensors, ISSN: 1424-8220, Vol: 24, Issue: 18
2024
  • 1
    Citations
  • 0
    Usage
  • 10
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    1
  • Captures
    10
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

University of Minho Researcher Yields New Study Findings on Sensor Research (Realistic 3D Simulators for Automotive: A Review of Main Applications and Features)

2024 OCT 01 (NewsRx) -- By a News Reporter-Staff News Editor at Transportation Daily News -- Fresh data on sensor research are presented in a

Review Description

Recent advancements in vehicle technology have stimulated innovation across the automotive sector, from Advanced Driver Assistance Systems (ADAS) to autonomous driving and motorsport applications. Modern vehicles, equipped with sensors for perception, localization, navigation, and actuators for autonomous driving, generate vast amounts of data used for training and evaluating autonomous systems. Real-world testing is essential for validation but is complex, expensive, and time-intensive, requiring multiple vehicles and reference systems. To address these challenges, computer graphics-based simulators offer a compelling solution by providing high-fidelity 3D environments to simulate vehicles and road users. These simulators are crucial for developing, validating, and testing ADAS, autonomous driving systems, and cooperative driving systems, and enhancing vehicle performance and driver training in motorsport. This paper reviews computer graphics-based simulators tailored for automotive applications. It begins with an overview of their applications and analyzes their key features. Additionally, this paper compares five open-source (CARLA, AirSim, LGSVL, AWSIM, and DeepDrive) and ten commercial simulators. Our findings indicate that open-source simulators are best for the research community, offering realistic 3D environments, multiple sensor support, APIs, co-simulation, and community support. Conversely, commercial simulators, while less extensible, provide a broader set of features and solutions.

Bibliographic Details

Silva, Ivo; Silva, Hélder; Botelho, Fabricio; Pendão, Cristiano

MDPI AG

Chemistry; Computer Science; Physics and Astronomy; Biochemistry, Genetics and Molecular Biology; Engineering

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