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| ====== Self-driving Vehicles Simulation ====== | ====== Self-driving Vehicles Simulation ====== | ||
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| Autonomous vehicle (AV) development is one of the top trends in the automotive industry and the technology behind them has been evolving to make them safer. In this way, engineers are facing new challenges especially moving toward the Society of Automotive Engineers (SAE) levels 4 and 5. To put self-driving vehicles on roads and evaluate the reliability of their technologies they have to be driven billions of miles, which takes a long time to achieve unless with the help of simulation. Furthermore, | Autonomous vehicle (AV) development is one of the top trends in the automotive industry and the technology behind them has been evolving to make them safer. In this way, engineers are facing new challenges especially moving toward the Society of Automotive Engineers (SAE) levels 4 and 5. To put self-driving vehicles on roads and evaluate the reliability of their technologies they have to be driven billions of miles, which takes a long time to achieve unless with the help of simulation. Furthermore, | ||
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| ==== Data Collection and Processing ==== | ==== Data Collection and Processing ==== | ||
| - | The first step of the Terrain generation is data collection of the desired area. Aerial imagery with a drone, over the area to be mapped, has to be conducted. The images are captured at a grid-based flight path. This ensures that the captured images contain different sides of a subject. In order to make sure the images have maximum coverage, the flight path is followed three times in different camera angles but at a constant altitude. All the images are georeferenced and IMU tagged to put the positioning and orientation data on them for better | + | The first step of the Terrain generation is data collection of the desired area. Aerial imagery with a drone, over the area to be mapped, has to be conducted. The images are captured at a grid-based flight path. This ensures that the captured images contain different sides of a subject. In order to make sure the images have maximum coverage, the flight path is followed three times in different camera angles but at a constant altitude. All the images are georeferenced and IMU tagged to put the positioning and orientation data on them for better |
| ==== Terrain generation ==== | ==== Terrain generation ==== | ||
| Digitalization of a real-life environment can be used for simulating AVs in countless different scenarios without taking the vehicle out for once. Terrain generation from point-cloud is done right in Unity. The in-house developed plugin reads a pre-classified point-cloud file and based on chosen parameters it creates a normal map, a heightmap, and a color map to use in conjunction with the unity’s terrain engine to create realistic environments. | Digitalization of a real-life environment can be used for simulating AVs in countless different scenarios without taking the vehicle out for once. Terrain generation from point-cloud is done right in Unity. The in-house developed plugin reads a pre-classified point-cloud file and based on chosen parameters it creates a normal map, a heightmap, and a color map to use in conjunction with the unity’s terrain engine to create realistic environments. | ||
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| + | In the following, we have a brief introduction to AV basic requirements and simulation. | ||
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