Orr Danon, CEO of Hailo, and Tsvi Lev, Managing Director of the NEC Research Center Israel and Corporate Vice President of NEC, co-present the “What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G” tutorial at the May 2021 Embedded Vision Summit. As edge AI is growing across different markets and […]
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Both technologies are used for object detection in autonomous vehicles, but how do they compare? Autonomous vehicles typically deploy multiple sensor systems for environmental perception: LiDAR, radar, and camera modules being the most popular. These sensor systems
A Closer Look at LiDAR and Stereovision Read More +
7/28/21 – FRAMOS offers camera data transfer over a single coax cable using the GMSL2 protocol on the Jetson AGX Xavier platform. Camera developers utilizing the FRAMOS Sensor Module Ecosystem can integrate the highly flexible GMSL2 technology with image sensors producing up to 8MP resolution at 30fps over cable length of 15m. Developers benefit from
Evan Juras, Computer Vision Engineer at BDTI, and Braulio Ríos, Machine Learning Engineer at Tryolabs, co-present the “A Mask Detection Smart Camera Using the NVIDIA Jetson Nano: System Architecture and Developer Experience” tutorial at the May 2021 Embedded Vision Summit. MaskCam is a prototype reference design for a smart camera that counts the number of
Teledyne expands its camera portfolio with new high-resolution Lt Series USB3 cameras for use in diverse machine vision applications Ottawa, CANADA, July 22, 2021 – Teledyne is pleased to announce the release of its new Lt Series USB3 high resolution cameras. With robust enclosures and fully locking USB3 connectors, these new cameras are built for
The 3-year project features a global consortium working towards Level 4 autonomy for mass-market vehicles Montreal, QC – July 21, 2021 – Algolux, a globally recognized computer vision software company, has been selected to participate in the AI-SEE project led by Mercedes Benz AG to ensure safe driving in poor visibility conditions. Recently named to
Kishore Chakravadhanula, Staff Product Manager at Qualcomm, presents the “5G and AI Transforming the Next Generation of Robotics” tutorial at the May 2021 Embedded Vision Summit. Bringing together the transformative power of 5G and AI technologies is essential to driving the next generation of high-compute, low-power robots and drones for consumer, enterprise and industrial sectors.
“5G and AI Transforming the Next Generation of Robotics,” a Presentation from Qualcomm Read More +
Advances in Edge Computing Must Innovate for Autonomous Vehicles to Realize Their Potential Large numbers of sensors, massive amounts of data, ever-increasing computing power, real-time operation and security concerns required for autonomous vehicles are driving the core of computation from the cloud to the edge of the network. Autonomous vehicles are constantly sensing and sending
AI Advancements Driving Autonomous Vehicle Ubiquity Read More +
This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. One group of scientists leveraging ML is the Buchser lab at Washington University in Saint Louis School of Medicine in the Department of Genetics. There, Dr. Buchser and his team are working in functional genomics, High-Throughput Screening,
Case Study: Genetic Screening Using CNNs in PerceptiLabs Read More +
This blog post was originally published at AImotive’s website. It is reprinted here with the permission of AImotive. The aiSim team adapted the Hardware-In-the-Loop testing approach with a unique spin on the concept that allows for testing complete automated driving systems with live simulated sensor data without any prerecorded footage. In this post, we will
End-to-end HiL Testing with aiSim to Maximize Coverage Read More +
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