Image stitching is the process of combining multiple images together to create a seamless panorama or a large-scale image. This technique is commonly used in photography, virtual reality, and mapping applications. In this blog, we will take a deep dive into the concepts of image stitching, including sensor and vehicle frame of reference, origin point,…
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Regression testing is a crucial aspect of developing L3 Advanced Driver Assistance Systems (ADAS) technology. It involves re-testing the entire system or parts of it, after changes or modifications have been made, to ensure that the changes did not introduce any new bugs or defects. This is particularly important for ADAS systems, which rely on…
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Advanced Driver Assistance System (ADAS) is a technology that helps drivers to drive safely and efficiently. It is a combination of sensors, cameras, and other technologies that work together to help drivers monitor their speed, maintain their lane, and avoid collisions. ADAS can be found in many modern cars, and it is becoming increasingly popular…
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ADAS: 20.73 billion in 2021 to 74.57 billion by 2030 with a CAGR of 14.2% AI: 119.78 billion in 2022 to $ 1.6 trillion by 2030 with a registered CAGR of 38.1% AI within ADAS: $6 billion in 2022 to $600 billion by 2032, at a CAGR of 55% The market size of Advanced Driver Assistance…
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In the field of autonomous systems, the choice between real-time and cloud-based architectures can have significant consequences for the performance, reliability, and cost of a system. In this article, we will explore the key differences between these two approaches and the trade-offs involved in choosing one over the other. We will also discuss how cloud-based…
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Wheel odometry is a method used to measure the distance traveled by a vehicle by tracking the rotations of its wheels. This can be done through various methods such as using encoders, sensors, or by measuring the speed of the wheels using an OBD (on-board diagnostics) sensor. One of the main applications of wheel odometry…
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Camera calibration is the process of determining the intrinsic and extrinsic parameters of a camera. Intrinsic parameters are properties of the camera itself, such as its focal length and principal point, while extrinsic parameters describe the position and orientation of the camera in the world. Accurate calibration is important for tasks such as 3D reconstruction,…
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