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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 ...

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...

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...

29 Aug 2024  |  Global  |  Market Research

Growth Opportunities in Advanced Driver Assistance Systems for Passenger Vehicles, China, 2023 2030

Stiff Competition from Domestic Players is Driving Transformational Growth by Pushing International OEMs to Offer Higher Levels of ADAS Features

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To become the global leader in the autonomous driving market, the Chinese government has paved the way for its automotive industry to leapfrog and develop autonomous solutions within the country. This has resulted in domestic original equipment manufacturers (OEMs) developing innovative features such as navigate-on-pilot and other L3/L4 solutions. ...

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...

Advanced driver assistance systems (ADAS) and autonomous vehicles use cameras as an integral part of the perception sensor suite to gather vision-based information that helps systems make logical decisions through artificial intelligence-based sensing and perception algorithms that enable autonomous driving features. Automotive cameras are broad...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to AI based platforms for Adaptive ADAS, Smart Home Charging System, Single-chip Lidar Laser Driver to Enhance Object Detection, EV charging solutions, teleportation based autonomous mobility platform, and urban transportation, among others.The purpose of the Mobility Te...

This study provides a quick snapshot of the evolving Hyperloop landscape. It discusses the history of Hyperloops and how they can help in addressing some of the mobility challenges of today. The advantages that Hyperloops will bring into the mobility landscape of the future and how it can revolutionise passenger and cargo transportation is covered....