Search results for: 'edge measure in ACC'

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...

Quantum sensing is transitioning from laboratory research to industrial deployment, driven by the need for ultra-precise, reliable measurement in high-impact sectors such as healthcare, defense, and advanced manufacturing. This shift reflects a broader move from controlled, research-grade environments toward scalable, field-ready systems that meet ...

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mixed-criticality computing platforms, are enabling t...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Air Taxi, Electric Vehicles, Autonomous Mobility, Radar and Diesel Engines. Some of the innovations profiled include Autonomous Electric Air Taxi for Urban Air Mobility, Advanced 3D Mapping and Object Detection System for Autonomous Vehicles, Intelligent Operating Sys...

The global video telematics market is on a robust growth trajectory, driven by fleets upgrading from traditional fleet management systems to advanced video-enabled solutions. For many providers, video telematics has evolved from just being a peripheral product into a core revenue driver for fleet operators. The tangible benefits of investing in vid...

The Russian and CIS nations constitute a unique and diverse part of the connected truck telematics market, and these countries include Armenia, Belarus, Kazakhstan, Kyrgyzstan, Moldova, Tajikistan, Turkmenistan, Ukraine, and Uzbekistan. Several local and international telematics companies serve the Russian and CIS connected truck telematics market....

Multimodal sensor fusion is an advanced perception technology that combines data from multiple sensors, including cameras, LiDAR, radar, ultrasonic sensors, thermal cameras, and inertial measurement units (IMUs), to give robots and autonomous systems a more accurate, reliable, and comprehensive understanding of their environment. It overcomes the l...

The North American commercial vehicle telematics market is moving from basic vehicle tracking and compliance to broader digital fleet management, creating a more competitive but also more diverse growth environment. Traditional telematics functions, such as GPS tracking, remain important, particularly among regulated commercial fleets, but they are...

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...