Search results for: 'Decision Support Database - European Vehicle Parc Matrix'

The advanced imaging sensors market is growing rapidly, driven by fast-paced innovations and increasing consumer demand. As industries place greater emphasis on comfort, convenience, safety, and efficiency, the global sensor market for autonomous vehicles and robotics is experiencing exponential growth. Governments and regulatory bodies across regi...

Sensor technology is enabling development of advanced systems for vehicle safety and control in the automotive sector. Automotive manufacturers are increasingly using electronics systems for improving vehicle performance, passenger safety and comfort. Integration of sensors and actuators into automotive control systems optimizes the performance of ...

Hybrid vision systems (HVS) are positioned to substantially impact perception-driven applications across a diverse array of sectors, including robotics, manufacturing, logistics, mobility, surveillance, and agriculture. By intricately combining the geographical precision of LiDAR with the semantic intelligence of advanced imaging systems, these inn...

Advancements in technologies that improve navigation and object detection, communication between vehicles and infrastructure, image processing algorithms, data analytics, and machine vision have created opportunities for automotive manufacturers to discover a wide range of solutions for the automotive IoT arena. Enhanced safety and cost-effectivene...

A compound semiconductor (CS) consists of two or more elements from different groups in the periodic table, such as gallium arsenide (GaAs), GaN, indium phosphide (InP), and silicon germanium. In the automotive industry, CSs have several advantages over elemental semiconductors (e.g., silicon [Si]). They operate at higher frequencies and temperatur...

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...

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...

Power-efficient electronic devices capable of high-speed communication have become essential in today’s electronics-dominated world. Low-power integrated circuits (IC) and radio frequency (RF) technologies have evolved rapidly following the increase in portable electronics and internet of things (IoT) usage. Circuit design advancements, such as sub...

27 Apr 2020  |  Global  |  Market Research

Growth Opportunities for Memory, Power, and Artificial Intelligence (AI) Semiconductors in 5G, Forecast to 2025

Implementation of Discrete AI Processors at the Edge, Improved Memory Density to Support Low-latency Data Transmission, and High-performance Power Amplifiers (PAs) Enable Accelerated Growth in the Adoption of 5G Connected Devices

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Key Issues Addressed

The 5G wireless communication technology is designed to operate in sub-6 GHz and mmWave frequency ranges with a bandwidth of 100 MHz, data rates in Gbps, with connection reliability of 99.99Percentage to 99.9999Percentage, and latency in the sub-5 millisecond range. Compared to 4G, these performance goals had multiplied several fold in 5G to improv...