Search results for: 'real control'

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 global automotive insurance industry is undergoing an impressive transformation as digitalization, connectivity, and data-driven models reshape how insurance is designed, delivered, and experienced. Traditional static policies are giving way to dynamic, usage-based, and behavior-based products that reflect real-world driving habits, enabled by ...

Demand for advanced battery management systems (BMS) is increasing in line with the growth of electric vehicles (EVs). This is primarily driven by the rapid adoption of Zero Emission Vehicles (ZEV) to achieve their net zero emission targets. As of 2023, BMS makes up 8% to 9% of the total EV price, which is expected to increase significantly over th...

This study investigates OpenAI, its journey to date, business model, revenue streams, regulatory environment, key technology and growth partnerships, start-up funding, and strategic investments. The research examines OpenAI product portfolios, real-world use cases, future application potential, and companies embracing the technology.--BEGIN PROMO--...

This study examines how automakers leverage voice AI and conversational AI to create personalized in-car experiences, focusing on OEM strategies, technology integration, and connected services.It profiles leading premium and mass-market automotive brands, analyzing their AI assistant strategies, technological capabilities, partnerships, and deploym...

This research service provides an in-depth analysis of the thermal management system strategies OEMs adopt for electric vehicles (EVs). It includes an overview of the main EV propulsion system components requiring thermal management and explores different cooling techniques, with a particular focus on battery thermal management systems. The switch ...

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 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...

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 ...