Arteris Articles

Semiconductor Engineering: Automotive Outlook: 2022

Kurt Shuler, VP of Marketing at Arteris IP is quoted in this Semiconductor Engineering article:

Automotive Outlook: 2022

January 7th, 2022 - By Ann Steffora Mutschler

Short-term IC supply-chain problems and long-term architectural and business changes top the list of what's ahead.


“Here, initially it was algorithms and AI or machine learning on visual inputs. Then, lidar and radar data was added to that in a sensor fusion function. That is then overlaid with mapping. This means even more hardware architectures are driven by the needs of the software," said Kurt Shuler, vice president of marketing at Arteris IP.

Topics: functional safety ISO 26262 network-on-chip automotive ADAS machine learning mobileye semiconductor engineering AI arteris ip LIDAR SoCs EDA 5G Tier 1s NoCs Tesla Arteris IP (AIP)

Semiconductor Engineering: Sensor Fusion Challenges In Cars

Kurt Shuler, Vice President of Marketing at Arteris IP is quoted in this new article in Semiconductor Engineering:

Sensor Fusion Challenges In Cars

October 8th, 2020 - By Ann Steffora Mutschler

As more pieces of the autonomous vehicle puzzle come into view, the enormity of the challenge grows.

You could say it’s the Wild West, but you could also say there’s tons of innovation happening,” said Kurt Shuler, vice president of marketing at Arteris IP. “That’s true whether it’s on the sensor chips or whether it’s on the ADAS brain chips. Eventually you want to be able to explain things in symbolic terms, and have an intermediate layer such that once you get this data, the data as its transmitted is in some kind of lingua franca that both sides can understand even though they’re from two separate companies. What I don’t know is how much processing it will take to move something from more of a raw data format into something useful. Eventually, there has to be a data format.”

Topics: SoC NoC automotive ADAS autonomous vehicles radar semiconductor engineering soc architecture LIDAR interconnects kurt shuler noc interconnect data ML/AI IP market

Semiconductor Engineering: Get Ready For Dynamic Extensibility

Kurt Shuler, vice president of marketing at Arteris IP comments in this new  Semiconductor Engineering article:

Data Strategy Shifting Again In Cars

June 8th, 2020 - By Brian Bailey

How late can something be deferred during the development process? With dynamically extensible processors, that may be while it's operating.  
 
This places additional burdens on the algorithms. “They need something that’s much more specific for the problem they’re trying to solve, such as near real-time vision, while probably mixing that with other sensors like LiDAR and radar,” says Kurt Shuler, vice president of marketing at Arteris IP. “It’s not as general-purpose as something that you’d see from the more academic benchmark. So those guys are having to innovate a lot more than the traditional AI algorithms that you read about.”
 
Topics: SoC automotive ADAS NoC technology semiconductor engineering safety LIDAR kurt shuler accelerators noc interconnect IP market data flow management

Semiconductor Engineering: Where Should Auto Sensor Data Be Processed?

 Arteris IP's Kurt Shuler, Vice President of Marketing, comments in this latest Semiconductor Engineering article:

Where Should Auto Sensor Data Be Processed?

August 1st, 2019 - By Ann Steffora Mutschler

Fully autonomous vehicles are coming, but not as quickly as the initial hype would suggest...

 

Indeed, when it comes to processing the sensor data, a number of approaches currently point to allowing for scaling between different ADAS levels, but which the best way to do that is still up for debate.

“There must be an architecture they can do that with, and the question is, ‘How do you do that?'” said Kurt Shuler, vice president of marketing at Arteris IP. “There’s a lot of interest in getting more hardware accelerators to manage the communications in software, and directly managing the memory. For this, cache coherence is growing in importance. But how do you scale a cache coherent system? This must be done in an organized way, as well as adding a whole bunch of masters and slaves to it, such as additional clusters.”

For more information, please download the Arteris FlexNoC Interconnect IP data sheet; https://www.arteris.com/download-flexnoc-datasheet

Topics: SoC autonomous driving ArterisIP FlexNoC semiconductor engineering LIDAR noc interconnect cache coherence hardware accelerators