About Cabling Installation & Maintenance

Our mission: Bringing practical business and technical intelligence to today's structured cabling professionals

For more than 30 years, Cabling Installation & Maintenance has provided useful, practical information to professionals responsible for the specification, design, installation and management of structured cabling systems serving enterprise, data center and other environments. These professionals are challenged to stay informed of constantly evolving standards, system-design and installation approaches, product and system capabilities, technologies, as well as applications that rely on high-performance structured cabling systems. Our editors synthesize these complex issues into multiple information products. This portfolio of information products provides concrete detail that improves the efficiency of day-to-day operations, and equips cabling professionals with the perspective that enables strategic planning for networks’ optimum long-term performance.

Throughout our annual magazine, weekly email newsletters and 24/7/365 website, Cabling Installation & Maintenance digs into the essential topics our audience focuses on.

  • Design, Installation and Testing: We explain the bottom-up design of cabling systems, from case histories of actual projects to solutions for specific problems or aspects of the design process. We also look at specific installations using a case-history approach to highlight challenging problems, solutions and unique features. Additionally, we examine evolving test-and-measurement technologies and techniques designed to address the standards-governed and practical-use performance requirements of cabling systems.
  • Technology: We evaluate product innovations and technology trends as they impact a particular product class through interviews with manufacturers, installers and users, as well as contributed articles from subject-matter experts.
  • Data Center: Cabling Installation & Maintenance takes an in-depth look at design and installation workmanship issues as well as the unique technology being deployed specifically for data centers.
  • Physical Security: Focusing on the areas in which security and IT—and the infrastructure for both—interlock and overlap, we pay specific attention to Internet Protocol’s influence over the development of security applications.
  • Standards: Tracking the activities of North American and international standards-making organizations, we provide updates on specifications that are in-progress, looking forward to how they will affect cabling-system design and installation. We also produce articles explaining the practical aspects of designing and installing cabling systems in accordance with the specifications of established standards.

Cabling Installation & Maintenance is published by Endeavor Business Media, a division of EndeavorB2B.

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AEye’s Intelligent LiDAR Now Available on the NVIDIA DRIVE Autonomous Vehicle Platform

      Adaptive, Intelligent LiDAR Augments NVIDIA’s Open Platform for L2+ to Level 5 Fully Autonomous Driving

AEye, Inc. (“AEye”), the global leader in adaptive, high-performance LiDAR solutions, today announced it is working with NVIDIA to bring its adaptive, intelligent sensing to the NVIDIA DRIVE® autonomous vehicle platform.

The NVIDIA DRIVE platform is an open, end-to-end solution for Level 2+ automated driving to Level 5 fully autonomous driving. With AEye’s intelligent, adaptive LiDAR supported on the NVIDIA DRIVE platform, autonomous vehicle developers will have access to next-generation tools to increase the saliency and quality of data collected as they build and deploy state-of-the-art ADAS and AV applications. Specifically, AEye’s SDK and Visualizer will allow developers to configure the sensor and view point-clouds on the platform.

“We are pleased to offer our customers the full functionality of our sensor on the NVIDIA DRIVE platform,” said Blair LaCorte, CEO of AEye. “ADAS and AV developers wanting a best-in-class, full-stack autonomous solution now have the unique ability to use a single adaptive LiDAR platform from Level 2+ through Level 5 as they configure solutions for different levels of autonomy. We believe that intelligence will be the key to delivering new levels of safety and performance.”

“AI-driven sensing and perception are critical to solving the most challenging corner cases in automated and autonomous driving,” said Glenn Schuster, senior director of sensor ecosystems at NVIDIA. “As an NVIDIA ecosystem partner, AEye’s adaptive, intelligent-sensing capabilities complement our DRIVE platform, which enables safe AV development and deployment.”

AEye’s adaptive LiDAR takes a uniquely intelligent approach to sensing, called iDAR™ (Intelligent Detection and Ranging). Its high-performance, adaptive LiDAR is based on a bi-static architecture, which keeps the transmit and receive channels separate. As each laser pulse is transmitted, the solid-state receiver is told where and when to look for its return — enabling parallel processing and deterministic artificial intelligence to be introduced into the sensing process at the point of object acquisition and detection. Ultimately, this establishes the iDAR platform as adaptive — allowing it to focus on what matters most, while simultaneously monitoring the vehicle’s surroundings, resulting in greater reliability, safety, and performance at longer range and lower cost.

About AEye

AEye is the premier provider of high-performance, adaptive LiDAR systems for vehicle autonomy, advanced driver-assistance systems (ADAS), and robotic vision applications. AEye’s AI-enabled and software-definable iDAR™ (Intelligent Detection and Ranging) platform combines solid-state adaptive LiDAR, an optionally fused low-light HD camera, and integrated deterministic artificial intelligence to capture more intelligent information with less data, enabling faster, more accurate, and more reliable perception. The company is based in the San Francisco Bay Area and backed by world-renowned financial investors including Kleiner Perkins and Taiwania Capital, as well as GM Ventures, Continental AG, Hella Ventures, LG Electronics, Subaru-SBI, Pegasus Ventures (Aisin), Intel Capital, SK Hynix and Airbus Ventures.

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