Search results for: 'endpoint detection ai detection'

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...

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...

15 Jun 2022  |  North America  |  Market Research

US Automotive In-vehicle Navigation Growth Opportunities

Augmented Reality, Sensors, Connected Data, and AI Set to Transform Navigation Services for Users and Businesses

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The US automotive in-vehicle navigation market is converging. Numerous technological developments, such as cloud computing and AI/ML capabilities, have created numerous new use cases. These opportunities include the integration of augmented reality in head-up display (AR HUD), HD mapping and sensor analysis for ADAS, and personalized services to el...

Connected vehicles are revolutionizing the automotive industry, evolving from transportation modes to smart, digital hubs that seamlessly integrate with users' lifestyles. In 2025, industry adoption of vehicle-to-everything (V2X) communication, AI-driven personalization, service-based monetization models, and software-defined Vehicles (SDVs) is exp...

Automated parking for passenger vehicles is entering a transformative phase, redefining how drivers and vehicles interact with urban infrastructure. This study explores how automakers, Tier 1 suppliers, and technology enablers are leveraging AI, advanced sensor fusion, connectivity, and smart infrastructure to deliver seamless, hands-free parking e...

This report presents the findings of the survey conducted by Frost & Sullivan to understand fleet & asset tracking and shipment monitoring in the Australian logistics service delivery market. The survey includes responses from decision-makers and key influencers from multinational and local organizations directly involved in fleet & logistics asset...

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. ...