Hayk Martiros, Head of Autonomy at Skydio, presents the “Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild” tutorial at the September 2020 Embedded Vision Summit. Skydio ships autonomous robots that are flown at scale in complex, unknown environments every day to capture incredible video, automate dangerous inspections and save lives of first responders. […]
February 10, 2021 – Probably the world’s smallest embedded vision system – fully integrated in one board and hardly bigger than an image sensor module: VC picoSmart from Vision Components will premiere at embedded world 2021 DIGITAL (March 1–5). Only 22 mm x 23.5 mm in size, this board camera yet contains all components necessary
Vision Components Presents the Smallest Embedded Vision System at Embedded World Read More +
Gareth Cross, Technical Lead for State Estimation at Skydio, presents the “Introduction to Simultaneous Localization and Mapping (SLAM)” tutorial at the September 2020 Embedded Vision Summit. This talk provides an introduction to the fundamentals of simultaneous localization and mapping (SLAM). Cross provides foundational knowledge; viewers are not expected to have any prerequisite experience in the
This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. Advanced driver assistance systems (ADAS) have been developed for more than ten years now, in pursuit of increased safety in the world of automobiles. Combining a set of sensors, mostly radars and cameras combined
The Rise and Fall of the ADAS Promise Now Disrupted by AVs Read More +
On March 30, 2021 at 9 am PT (noon ET), Marc Courtemanche, Product Architect at Algolux, will present the free half-hour webinar “Optimizing a Camera ISP to Automatically Improve Computer Vision Accuracy,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Cameras are the most ubiquitous sensor used
Free Webinar Explores Camera ISP Optimization For Improved Computer Vision Accuracy 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 +
This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. Yole Développement (Yole) has been monitoring the trajectories of Advanced Driver Assist (ADAS) and Autonomous Vehicle (AV) players for many years and has recently published Sensing and computing for ADAS 2020 and Sensors for
CES 2021 – The More than Moore Pivot from Intel Mobileye Read More +
Damas Limoge, Senior R&D Engineer at Nanotronics, presents the “Imaging Systems for Applied Reinforcement Learning Control” tutorial at the September 2020 Embedded Vision Summit. Reinforcement learning has generated human-level decision-making strategies in highly complex game scenarios. But most industries, such as manufacturing, have not seen impressive results from the application of these algorithms, belying the
According to a recent study from market research firm Global Market Insights, Optical sensor market are broadly utilized in consumer electronic devices for the detection of events, changes, or input signals and pass the information to other components. Increasing adoption of optical sensor for biometric recognition, high-speed detection, device authentication, and other security application in
Optical Sensor Market is Projected to Reach USD 30 Billion by 2026 Read More +
Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents the “Safer and More Efficient Intersections with Computer Vision” tutorial at the September 2020 Embedded Vision Summit. GRIDSMART is an edge computer vision system that uses omnidirectional imaging to detect and track objects through intersections to optimize traffic signal timing in response to
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