“Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles,” a Presentation from NXP Semiconductors

Ali Osman Ors, Director of Automotive Microcontrollers and Processors at NXP Semiconductors, presents the "Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles" tutorial at the May 2017 Embedded Vision Summit.

A diverse set of sensor technologies is available and emerging to provide vehicle autonomy or driver assistance. These sensor technologies often have overlapping capabilities, but each has its own strengths and limitations. Drawing on design experience from deployed real-world applications, Ors explores trade-offs among sensor technologies such as radar, lidar, 2D and 3D camera sensors and others that are making inroads into vehicles for safety applications. He also examines how these sensor technologies are progressing to meet the needs of autonomous vehicles.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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