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The Future of Autonomous Driving is almost here

How Artificial Intelligence, Digitalization, and Simulation are ramping up to enable validation of game-changing advances in autonomous vehicles

The first wave of modern advanced driver-assistance systems (ADAS) to hit the auto market two decades ago was a classic engineering systems event that integrated sensors in the vehicle to alert the driver to anomalies and, in some cases, intervene. For example, in 1999, Jaguar entered the market with its automated distance control system and a radar-based Active Cruise Control system with the Jaguar XKR.1 In 2010, Volvo launched a pedestrian detection system that used radar and cameras to warn a driver if a pedestrian stepped in front of the car and then initiated an emergency braking procedure

Autonomous driving is changing the way we think about mobility; it will help make roads safer and prevent accidents and fatalities. It is both a great market to work in and, at the same time, a vast, complex, and fast-moving domain. AI systems play a pivotal role in AV development as the field evolves and algorithms learn all by themselves. But questions remain.

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