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Despite disrupting sales and profitability in many markets, the pandemic has ignited minds to build a safer and convenient environment. The connected automotive industry is making the best of the situation through trending use cases that build the new normal across consumer segments. Adapting to the new form of travel, Frost and Sullivan's 'Cars as...

Despite disrupting sales and profitability in many markets, the pandemic has ignited minds to build a safer and convenient environment. The connected automotive industry is making the best of the situation through trending use cases that build the new normal across consumer segments. Adapting to the new form of travel, Frost and Sullivan's ‘Voice o...

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...

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 ...

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 COVID-19 pandemic has placed a greater emphasis on a safe environment and exacerbated the need for more convenience in daily activities. The automotive industry has aligned itself with this trend, focusing on solutions and systems that enhance the safety and comfort of drivers and passengers. This study aims to support automakers and allied ind...

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...

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 ...

With the increasing adoption of advanced driver assistance systems (ADAS) and autonomous driving, there has been a corresponding increase in the need for sensors used in such applications. This study examines the use of light detection and ranging (LiDAR) sensors in the automotive industry. The LiDAR is a sensing system that will become an integral...