Automated & Connected

Featured SAE MOBILUS Publications

Road Vehicles - Cybersecurity Engineering



This document is an unapproved DRAFT of a proposed SAE International Standard. It specifies requirements for cybersecurity risk management regarding engineering for concept, development, production, operation, maintenance, and decommissioning for road vehicle electrical and electronic (E/E) systems, including their components and interfaces.

Field Guide to Lidar


Field Guide to Lidar covers the various components and types of active electro-optical sensors—referred to as lidars in the text—from simple 2D direct-detection lidars to multiple sub-aperture synthetic aperture lidars. Other topics covered include receivers, apertures, atmospheric effects, and appropriate processing of different lidars.

Autonomous Technologies: Applications That Matter


Over the years, the DARPA Challenges in the United States have galvanized interest in autonomous cars, making them a real possibility in the mind of the public, but autonomous and unmanned vehicles have been increasingly employed in many roles on land, in the water, and in the air.

Latest News

SAE International and ISO Publish First-Of-Its Kind Standard for Automotive Cybersecurity Engineering

SAE International, in collaboration with the International Organization for Standardization (ISO), published a draft of the new ISO/SAE 21434™ Standard to address automotive cybersecurity engineering. The new standard is designed to help the industry define a structured process to ensure cybersecurity is incorporated into the design of road vehicles, including systems, components software and connections to any external device or network.

SAE 2020 Government/Industry Meeting: Level-2 driver assistance systems may be working

Advanced driver-assistance systems (ADAS) are designed to enhance safety and reduce driving stress. Based on the results of two recent studies meant to assess ADAS effectiveness, the systems may be living up to their billing. At this week’s SAE Government/Industry Meeting in Washington, DC, researchers presented largely positive results of two studies of production-vehicle ADAS that provide driver assistance at Level 2 in the SAE J3016 standard for describing automated-driving functionality.

U.S. Air Force invests in Explainable-AI for unmanned aircraft

Software star-up, Z Advanced Computing, Inc. (ZAC), has received funding from the U.S. Air Force to incorporate the company’s 3D image recognition technology into unmanned aerial vehicles (UAVs) and drones for aerial image and object recognition. ZAC’s in-house image recognition software is based on Explainable-AI (XAI), where computer-generated image results can be understood by human experts.

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