Every automated action starts with perception – not just the radars and the cameras that detect the environment around the vehicle, but also the intelligence that fuses and interprets those detections, and determines how to use them to make smarter decisions. Aptiv combines best-in-class software and hardware for a solution that deeply understands the world around it and can improve over time.
To ensure that an automated driving system works well in a variety of driving environments, it needs sensor fusion software. Sensor fusion pulls data from multiple different sensors and sensing modalities – cameras and radars, for example – and stitches it all together for a more complete picture of the world around the vehicle at all times.
Accurately interpreting sensor data is key to high-performing ADAS. Is that object a bicycle? A pedestrian? Another car? Through AI and machine learning, a system can be trained to tell one from another with remarkable precision. AI/ML is especially useful when applied to radar returns, gleaning information from them that human observers might miss.
Radars are an essential part of many sensing and perception systems. They work in various weather conditions, including rain, fog and snow. They are impervious to lighting conditions of any kind. They work when located behind vehicle fascia. And they use less power and less compute resources than alternative sensors.