Search results for: 'on autonomous'

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...

Level 4 autonomous vehicles or self driving vehicles have a high level of automation in which the vehicle can perform all driving tasks and monitor the driver’s environment. The vehicle can operate without the driver’s inputs or oversight under certain conditions, such as type of road or geographic area. Level 5 autonomous vehicles have full autom...

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...

Advanced edge AI sensors solutions are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including consumer electronics, manufacturing, automotive, and agriculture. Continuous advancements in sensor hardware and AI-based decision-making are reshaping the c...

There is a growing demand for advanced autonomous vehicles including level 3, 4 and 5 with the emergence of advanced sensors for connected and autonomous infrastructure. More sensors are used in advanced driver assistance systems (ADAS) and automated driving to provide greater information about a vehicle’s surroundings. More sophisticated sensor fu...

This report studies the emerging trends in consumer behavior and the technology landscape that are set to shape the future of consumerism. Increasing demand for personalized experiences has pushed companies to invest in advanced technologies and rebuild legacy infrastructure, ensuring more tailored shopping experiences across both physical and digi...

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...

Micro-sensors are no longer just components that capture data—they are becoming the intelligence behind connected products and autonomous systems. As industries demand faster decisions, greater reliability, and continuous monitoring, sensing platforms are evolving by combining embedded AI, advanced materials, low-power design, and connected archite...

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...