Cars are undergoing a radical transformation, with software becoming the lifeblood of the industry. Today, the amount of software content in vehicles is increasing rapidly, and it is expected to rise significantly in the coming years. This trend is driving the development of software-defined vehicles (SDVs), which leverage sophisticated software algorithms to manage and coordinate vehicle functions. SDVs are packed with sensors, cameras, and radar (up to 100 million lines of code currently, projected to reach 300 million by 2030), acting as data-gathering hubs that perceive their surroundings and make informed decisions. Through powerful AI and machine learning, SDVs can analyse complex situations, predict potential obstacles, and navigate with unprecedented autonomy. These "computers on wheels" are fundamentally changing the driving experience, with connectivity, performance, digital displays, advanced safety features, and improved Human-Machine Interfaces (HMI) becoming standard.
EVOLUTION OF SOFTWARE-DRIVEN MOBILITY
SDVs emerged from the merging of advancements in computing, robotics, and automotive engineering. Early experiments in autonomous vehicle technology focused on developing basic navigation systems and control algorithms, enabling vehicles to follow predefined paths or react to simple commands. With the swift progress in computing power, sensor technology and AI algorithms, the true potential of SDVs began in the current century. Advancements in machine learning, deep learning, and neural networks enabled vehicles to infer complex sensory data, identify patterns, and make autonomous decisions in unpredictable environments.
TECHNOLOGY: AS A KEY PLAYER
This story is from the May 2024 edition of The Machinist.
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This story is from the May 2024 edition of The Machinist.
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