Search results for: 'Radar Support Frost Radar: Low-Code Application Platforms'

Advanced driver assistance systems (ADAS) and autonomous vehicles (AVs) use radars as an integral part of the perception sensor suite to gather surrounding information and make logical decisions through artificial intelligence-based sensing and perception algorithms for autonomous driving features. Adaptive cruise control, automatic emergency br...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...

In the last 5 years, the Chinese government has tightened vehicle data collection, data protection, data privacy, and cybersecurity through a series of laws and regulations. Frost & Sullivan recognizes that all electronic hailing (eHailing) platform providers in China must assess these regulations and update their business operations and strategies...

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

20 Jul 2022  |  Global  |  Frost Radar

Frost Radar™: Global Freight Visibility Platforms, 2022

A Benchmarking System to Spark Companies to Action Innovation that Fuels New Deal Flow and Growth Pipelines

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Freight visibility platforms have transformed how logistics stakeholders manage their inbound and outbound shipments in light of the recent COVID-induced supply chain disruptions. Globally, the need to streamline freight management systems and introduce real-time freight visibility is pressing. With the platforms’ unique value propositions, enter...

The next generation in-vehicle infotainment requires centralized, high-performance computing and dependent on enhanced mobile broadband for high-definition video, massive machine-type communications for multidevice connectivity, and ultrareliable and low-latency communications for real-time interactivity. Video streaming technology for the in-cabin...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to C-V2X, LiDAR, Automotive Radar, SoCs and Rechargeable Batteries among others.The purpose of the Mobility Technology TOE is to raise awareness of global technology innovations in self-propelled ground-based mobile platforms that are not only technically significant but...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Urban Mobility, Radar, LiDAR, and Autonomous Fleet Intelligence, among others.The purpose of the Mobility Technology TOE is to raise awareness of global technology innovations in self-propelled ground-based mobile platforms that are not only technically significant bu...

Automotive perception sensors based on cameras, LiDAR, ultrasonics, and conventional 2D radars have come far in their detection, range, resolution, and processing capabilities but still have inherent limitations. High deployment costs and the inability to detect in adverse weather conditions, see through solid objects, or meet other safety requirem...