Foundries Accelerate Auto Efforts


Foundries are ramping up their efforts in automotive chip production in preparation for a surge in semiconductors used in assisted and autonomous driving. All of the major foundry vendors are scrambling to assemble the pieces and expand their process portfolios for automotive customers. The foundries are seeing a growing demand from automotive IC customers amid the push toward advanced drive... » read more

Tech Talk: ADAS


Arvind Vel, director of applications engineering at ANSYS, talks about the transition to self-driving cars and what will be required in future system designs. https://youtu.be/K2xBZZ-vxYQ » read more

The LiDAR Gold Rush


Big money is pouring into the LiDAR market, as carmakers gear up for autonomous and assisted driving. LiDAR, along with advanced computer vision and radar sensors, is an essential component for vehicles to maneuver without hitting obstacles or other cars. LiDAR is an acronym for light imaging, detection, and ranging, and until now it has been almost synonymous with next-generation automotive... » read more

Tech Talk: ISO 26262


Arteris' Kurt Shuler discusses what's changing in the automotive standard and how everything is supposed to work in the future. » read more

The Evolution Of Deep Learning For ADAS Applications


Embedded vision solutions will be a key enabler for making automobiles fully autonomous. Giving an automobile a set of eyes – in the form of multiple cameras and image sensors – is a first step, but it also will be critical for the automobile to interpret content from those images and react accordingly. To accomplish this, embedded vision processors must be hardware optimized for performanc... » read more

Overcoming Bandwidth Issues In Self-Driving Vehicles


Drivers are already getting used to what used to be “cool new features” that have now become “can’t live without” technologies, such as the backup camera, blind spot alert or parking assist. Each of these technologies stream information, or data, within the car, and as automotive technology evolves, more and more features will be added. But when it comes to autonomous vehicles, the am... » read more

Autonomous Cars Drive New Software


Autonomous driving and other advanced features will require much more sophisticated software than what is used in vehicles today. To make this all work will require complex algorithms as well as co-designed hardware, which can make real-time decisions to avoid accidents and adjust to changing road conditions. Automobiles already take advantage of sophisticated software executed by a variety ... » read more

Verification And The IoT


Semiconductor Engineering sat down to discuss what impact the IoT will have on the design cycle, with Christopher Lawless, director of external customer acceleration in [getentity id="22846" e_name="Intel"]'s Software Services Group; David Lacey, design and verification technologist at Hewlett Packard Enterprise; Jim Hogan, managing partner at Vista Ventures; Frank Schirrmeister, senior group d... » read more

Automotive SoC Maker Saves Time, Enhances Product QoS For Advanced Real-Time Video Image Recognition


Automated driver assistance systems (ADAS) used to be expensive until Mobileye figured out how to use inexpensive cameras with advanced visual processing to help make cars autonomous. In this 4-page paper, created with the participation of Mobileye, you will learn how the world's #1 vision-based ADAS company uses Arteris FlexNoC interconnect IP to address demanding high bandwidth and low-latenc... » read more

Creating Reliable SoCs For Safe ADAS Applications


Every major automaker is in the process of bringing out autonomous vehicles with ADAS (advanced driver assistance systems). In addition to processors and embedded software, ADAS requires a variety of sensors – ultrasonic, camera, RADAR (radio detection and ranging), LIDAR (light detection and ranging), GPS and IR (infrared) – that are used to recognize signs, people, animals, other vehicles... » read more

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