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One significant trend emerging in the automotive active safety systems industry is the integration of Artificial Intelligence (AI) and Machine Learning (ML) in safety technologies. AI and ML are being increasingly used to enhance the capabilities of active safety systems, enabling real-time data processing and more accurate predictions of potential hazards.
For instance, AI-powered systems can analyze vast amounts of data from sensors, cameras, and other inputs to predict and prevent collisions by making split-second decisions. These technologies also allow for continuous learning, where the systems improve over time as they encounter different driving scenarios. This trend is not only improving the effectiveness of active safety systems but is also paving the way for more advanced autonomous driving features, thereby driving innovation and growth in the market.
For instance, in May 2024, Volvo Buses globally launched its third-generation active safety systems, designed to enhance safety for vulnerable road users like pedestrians and cyclists. These systems include features such as Collision Warning with Emergency Brake and Side Collision Avoidance Support, which go beyond current legal requirements, including those in the European Union.
The new safety features come standard on Volvo's electric and Euro 6 buses, with plans to extend them to regions with Euro 3 and Euro 5 standards. Volvo's comprehensive safety approach focuses on safe driving, collision avoidance, and collision protection, aligning with their Zero Accidents Vision.