This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Autonomy starts with how the vehicle perceives a three-dimensional world. An essential task in autonomous driving is environmental perception—interpreting an ever-changing, three-dimensional world on the fly. Which methods will the vehicle use to understand and respond to […]
How a Car Sees in 3D Read More +
This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. This year, due to Covid-19, everything was different. For the first time, CES was held virtually and became smaller with fewer exhibitors, fewer visitors. But at the same time, virtualization also brought opportunities: the audience became more
Renesas Automotive at CES 2021 – A Unique All-digital Experience Read More +
Smart City connected by IoT (Image by Tumisu from Pixabay) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Whether you’re new to computer vision or an expert, you’ve probably heard about AlexNet winning the ImageNet challenge in 2012. That was the turning point in computer
Model Compression: Needs and Importance Read More +
How an Automotive Tier 1 Supplier Used Atlas to Improve Computer Vision Accuracy By Up to 48% mAP Within Days This blog post was originally published at Algolux’s website. It is reprinted here with the permission of Algolux. Computer vision is a fundamental technology in automotive Advanced Driver Assistance Systems (ADAS) for pedestrian, vehicle, or
Optimizing Image Processing for Computer Vision Read More +
This blog post was originally published at Deeplite’s website. It is reprinted here with the permission of Deeplite. Welcome back to the DNN model optimization series! Our recent paper on Deeplite’s unique optimization software, Neutrino™, won the “Best Deployed System” award at Innovative Applications of Artificial Intelligence 2021. For this occasion, we decided to dedicate this
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Algorithmic fairness is a motif that plays throughout our podcast series: as we look to AI to help us make consequential decisions involving people, guests have stressed the risks that the automated systems that we build will
The Importance of Algorithmic Fairness Read More +
Fisheye dewarping with no need to install an app: this solution works directly with the WebGL API and on popular browsers for computers and mobile devices, as long as they support HTML5. Convenience and ease-of-use should be watchwords for the development of all products, yet many of them stumble right out of the blocks by
Home Surveillance and Security Without the Hassle Read More +
Convergence of Edge Computing, Machine Vision and 5G-Connected Vehicles Today’s societies are becoming ever more multimedia-centric, data-dependent, and automated. Autonomous systems are hitting our roads, oceans, and air space. Automation, analysis, and intelligence is moving beyond humans to “machine-specific” applications. Computer vision and video for machines will play a significant role in our future digital
Accelerating AI-Defined Cars Read More +
This blog post was originally published at ClearML’s website in partnership with Neural Guard. It is reprinted here with the permission of ClearML and Neural Guard. A Methodology for Optimizing Dataset ROI & Maximizing TTM in Applied AI Building machine learning (ML) and deep learning (DL) models obviously require plenty of data as a training-set
Good Testing Data is All You Need Read More +
This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. If you were to ask them (and I have), you would discover that many people think of radar in the context of things like airplanes and ships and the evening weather forecast on TV. As
Lattice FPGAs Power Real-Time Radar Adapter Cards Read More +
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