AEB car-to-car analysis
For evaluating collision avoidance technologies, new test targets enable complex traffic scenarios to be replicated in the real world
In the early 2000s car manufacturers started to implement collision avoidance systems in commercially available vehicles. In the early stages, only frontal crash obstacles, such as stationary cars, were addressed in the avoidance or mitigation of collisions. Over the years, more sophisticated sensor systems were brought to market, able to detect other types of obstacles such as pedestrians and cyclists, but also considering more complex scenarios, such as people at crossings and oncoming traffic. When autonomous vehicles are introduced on roads, an almost infinite number and variety of complex scenarios must be detectable by these systems to ensure safe and comfortable driving.