It All Begins with Intelligent Perception
SENSOR FUSION, AI/ML, RADARS AND CAMERAS
Every automated action starts with perception – not just the radars and the cameras that detect the environment around a vehicle or other device, 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.
Sensor Fusion for Availability
THE SECRET IS THE SOFTWARE
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.
AI/ML for Accuracy
GETTING MORE FROM SENSORS
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.
Radar for Reliability
ALL WEATHER AND LIGHTING CONDITIONS
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.
Aptiv PULSE™ Sensor for Precision
PERCEPTION INNOVATION FOR PARKING AND DENSE URBAN SCENARIOS
Aptiv's Parking, Urban, Localization and Surround Enhancement (PULSE) Sensor is well suited for driving scenarios that demand precise detection and involve complex maneuvering. Integrating a surround-view camera with an ultrashort-range radar enables reliable, 360-degree sensing while reducing blind spots, cost and vehicle complexity.
