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A DSP For Implementing High-Performance Sensor Fusion On An Embedded Budget


By Markus Willems and Pieter van der Wolf Sensor fusion refers to the combining of data from multiple sensors to obtain more complete and accurate results. By using the information provided by multiple sensing devices, it is possible to achieve better context awareness. Smart mobile devices, autonomous driving, smart home appliances, industrial control, and robotics are just a few of the app... » read more

Get Ready For The Next Generation Of Wearable Tech


Wearables have attracted a lot of attention recently, due to both their successes as well as failures. They bring together requirements for packaging, new substrates, power scavenging, low-power, novel connectivity, flexibility, durability, as well as fashion. While some of the challenges remain formidable, the long-term potential is driving the industry to look at what is possible. They are... » read more

Competing Auto Sensor Fusion Approaches


As today’s internal-combustion engines are replaced by electric/electronic vehicles, mechanical-system sensors will be supplanted by numerous electronic sensors both for efficient operation and for achieving various levels of autonomy. Some of these new sensors will operate alone, but many prominent ones will need their outputs combined — or “fused” — with the outputs of other sensor... » read more

Sensor Fusion Everywhere


How do you distinguish between background noise and the sound of an intruder breaking glass? David Jones, head of marketing and business development for intuitive sensing solutions at Infineon, looks at what types of sensors are being developed, what happens when different sensors are combined, what those sensors are being used for today, and what they will be used for in the future. » read more

Changes In Sensors And DSPs


Pulin Desai, group director for product marketing, management and business development at Cadence, talks about why processing is moving closer to the end point, how to save energy through reduced area and sensor fusion, and the impact of specialization, 3D capture and always-on circuits. » read more

Making Lidar More Useful


Lidar, one of a trio of “vision” technologies slated for cars of the future, is improving both in terms of form and function. Willard Tu, director of automotive at Xilinx, talks with Semiconductor Engineering about different approaches and tradeoffs between cost, compute intensity and resolution, various range and field of view options, and why convolutional neural networks are so important... » read more

Shifting Auto Architectures


Domain controllers and gateways are being replaced by central processing modules and zonal gateways to handle all of the data traffic in a vehicle. Ron DiGiuseppe, automotive IP segment manager at Synopsys, talks with Semiconductor Engineering about how automotive applications are changing, what that means for engineering teams, and how they will shift as AI is increasingly deployed. » read more

Sensor Fusion Challenges In Cars


The automotive industry is zeroing in on sensor fusion as the best option for dealing with the complexity and reliability needed for increasingly autonomous vehicles, setting the stage for yet another shift in how data from multiple devices is managed and utilized inside a vehicle. The move toward greater autonomy has proved significantly more complicated than anyone expected at first. There... » read more

Data Strategy Shifting Again In Cars


Carmakers are modifying their data processing strategies to include more processing at or near the source of data, reducing the amount of data that needs to be moved around within a vehicle to both improve response time and free up compute resources. These moves are a world away from the initial idea that terabytes of streaming data would be processed in the cloud and sent back to the vehicl... » read more

Tracking Automotive’s Rapidly Shifting Ecosystem


The automotive ecosystem is becoming much harder to navigate as automakers, Tier 1s and IP vendors redefine their relationships based upon shifting value caused by an rapidly expanding amount of increasingly interdependent and complex electronic content. Predictions of massive change started almost a decade ago with a number of pilot programs around autonomous vehicles. But those shifts real... » read more

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