New Developments Set To Accelerate MIPI CSI-2 Adoption In Automotive


As Advanced Driver-Assistance Systems (ADAS) become more sophisticated, cars are equipped with an increasing number of cameras and sensors. To support features like automated parking, adaptive cruise control, and enhanced night vision, sensors source multiple wavelengths and deploy cameras with higher quality data formats, higher frame and refresh rates. ADAS systems are all powered by data sou... » read more

Research Bits: August 22


Photonic memory Researchers from Zhejiang University, Westlake University, and the Chinese Academy of Sciences developed a 5-bit photonic memory capable of fast volatile modulation and proposed a solution for a nonvolatile photonic network supporting rapid training. This was made possible by integrating the low-loss phase-change material (PCM) antimonite (Sb2S3) into a silicon photonic plat... » read more

Nine Essential Criteria To Achieve A Successful Bonding Process


A photosensitive permanent bonding material enables the creation of high-quality permanent bonds between dissimilar materials used in the creation of MEMS and sensors. Having a thorough understanding of the materials and product performance is crucial to the success of the end application. In this article, we explore nine criteria used to evaluate a polymeric photosensitive permanent bonding ma... » read more

Virtual Development Of Perception Sensor Systems


By Ron Martin and Christoph Sohrmann Over the past few years, there has been a marked expansion in research and development activities related to driver assistance systems as well as highly automated and connected driving systems. However, this has yet to translate into a higher degree of automation in the average production vehicle – especially for SAE Level 3 and above. The next step in ... » read more

Automotive Lidar: Softening The Trade-off Between Ambiguity Range And Speed 


A technical paper titled “Overcoming the limitations of 3D sensors with wide field of view metasurface-enhanced scanning lidar” was published by researchers at Université Côte d’Azur and CRHEA. Abstract: "Lidar, a technology at the heart of autonomous driving and robotic mobility, performs 3D imaging of a complex scene by measuring the time of flight of returning light p... » read more

Research Bits: July 5


UTe2 breakthrough for quantum computing Scientists from the Macroscopic Quantum Matter Group laboratory at the University College Cork (UCC) in Ireland discovered a spatially modulating superconducting state in the superconductor uranium ditelluride (UTe2) that could be useful as in topological quantum computing. Using a powerful quantum microscope, the team found that the some of the electro... » read more

Demonstrating A Fully-2D-Material Based Device For Temperature Sensing In Cryogenic Regimes


A technical paper titled “I-V-T Characteristics and Temperature Sensor Performance of a Fully-2D WSe2/MoS2 Heterojunction Diode at Cryogenic Temperatures” was published by researchers at Technische Universität Dresden, Institute of Ion Beam Physics and Materials Research, and National Institute for Materials Science. Abstract: "In this work, we demonstrate the usability of a fully-2D-mat... » read more

Developing A Customized RISC-V Core For MEMS Sensors


We recently described how Codasip Labs is working with the NimbleAI project to push the boundaries of neuromorphic vision. Let’s talk about another cool project. This project is focused on another sense, hearing. We will use our unique Codasip Studio design toolset to develop a customized RISC-V core for MEMS (micro-electro-mechanical system) sensors. Again, technology is inspired by bio... » read more

How Many Senses Do You Need To Drive A Car?


The recent AutoSens conference in Detroit left me questioning whether I should turn in my driver's license. The answer the attending OEMs gave to all the discussions about the advantages of RGB cameras, ultrasound, radar, lidar, and thermal sensors was a unanimous "We probably need all of them in some form of combination" to make autonomy a reality in automotive. Together, these sensors are muc... » read more

An Ideal Always-Sensing Subsystem Architecture


Always-sensing cameras are a relatively new method for users to interact with their smartphones, home appliances, and other consumer devices. Like always-listening audio-based Siri and Alexa, always-sensing cameras enable a seamless, more natural user experience. Through continuous sampling and analyzing visual data, always-sensing enables use cases such as: “Find a face” detection for... » read more

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