The Power of Memory in Camera Monitor Systems

According to the World Health Organization, approximately 1.19 million people die each year as a result of road traffic crashes. The challenge automakers have is deciding what types of cameras or sensors to implement to help prevent accidents, and making sure they meet various regulations. Camera monitoring systems or (CMS) represent a significant milestone in the ongoing evolution of automo... » read more

Deployment Of MIPI In Ultra-Low-Power Streaming Sensors

By Mahmoud ElBanna and Brian Lenkowski Streams of data from higher-speed sensors pose throughput and latency challenges for designers. However, optimizing a design for those criteria can come at the expense of increased power consumption if not conceived and executed carefully. A device like a high-resolution, high-frame-rate home security camera in a non-wired application requiring frequent... » read more

Exploring The Facets Of Stray Light With Simulation

Seems like everywhere you look, there’s someone snapping a memorable group photo or perfect selfie with their phones. As the line between traditional and cellphone cameras continues to blur, manufacturers of these handheld devices are pressed to find the best combination of software and hardware to achieve image quality that was previously unthinkable. Of course, mobile photography has com... » read more

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

DeepGBASS: Deep Guided Boundary-Aware Semantic Segmentation

Image semantic segmentation is ubiquitously used in scene understanding applications, such as AI Camera, which require high accuracy and efficiency. Deep learning has significantly advanced the state-of-the-art in semantic segmentation. However, many of recent semantic segmentation works only consider class accuracy and ignore the accuracies at the boundaries between semantic classes. To improv... » read more

Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS

Abstract: "Camera-based Deep Learning algorithms are increasingly needed for perception in Automated Driving systems. However, constraints from the automotive industry challenge the deployment of CNNs by imposing embedded systems with limited computational resources. In this paper, we propose an approach to embed a multi- task CNN network under such conditions on a commercial prototy... » read more

MIPI Standards Gaining Traction In New Markets

An explosion of low-cost, high-performance image sensors for a growing number of applications is propelling the MIPI interface into a variety of new markets, where standardized signal protocols and characteristics are becoming essential. For years, MIPI has been almost synonymous with mobile phones. But as higher-resolution image sensors increasingly are deployed in automotive, AI, IoT, and ... » read more

Innovations In Sensor Technology

Sensors are the “eyes” and “ears” of processors, co-processors, and computing modules. They come in all shapes, forms, and functions, and they are being deployed in a rapidly growing number of applications — from edge computing and IoT, to smart cities, smart manufacturing, hospitals, industrial, machine learning, and automotive. Each of these use cases relies on chips to capture d... » read more

The Future Of Smart Cameras Is 64-Bit Processing

The future of smart camera technology brings with it profound transformations in the way we interact with each other and the world around us. From smart cities that are safer and more efficient to rainforests that are monitored for illegal logging, the increasing need for advanced vision technology is growing. Diverse and complex use cases leveraging artificial intelligence (AI) and machine lea... » read more

Big Changes Ahead For Inside Auto Cabins

The space we occupy inside our vehicles is poised to change from mere enclosure to participant in the driving experience. Whether for safety or for comfort, a wide range of sensors are likely to appear that will monitor the “contents” of the vehicle. The overall approach is referred to as an in-cabin monitoring system (ICMS), but the specific applications vary widely. “In-cabin sensing... » read more

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