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25 Mar 2025  |  Global  |  Technology Research

Top 10 Sensing Technologies in the Automotive Industry

Camera Sensors and Position Sensors Will Significantly Impact the Automotive Industry

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The automotive market is growing rapidly with fast-paced innovations and consumer demand. With an increased focus on comfort, convenience, safety, vehicle emissions, and other global standards, the global automotive sensors market too is experiencing an exponential growthSeveral countries have set up regulations and standards to be met before a veh...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Vision Sensing, Automated Logistics, Drones, Batteries and RISC-V Cores.The purpose of the Mobility Technology TOE is to raise awareness of global technology innovations in self-propelled ground-based mobile platforms that are not only technically significant but pote...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to C-V2X, LiDAR, Automotive Radar, SoCs and Rechargeable Batteries among others.The purpose of the Mobility Technology TOE is to raise awareness of global technology innovations in self-propelled ground-based mobile platforms that are not only technically significant but...

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...

This study analyzes the regulatory framework of the connected vehicle sector’s various segments in Europe, North America, and China. The increase in embedded navigation systems and 5G technology will drive several new CV features through an app or service. The deployment of over-the-air (OTA) software updates and personal information sharing for a ...

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 perception is transforming robotics and automotive systems by combining cameras, lidar, radar, event-based vision, and other sensing technologies through AI-driven sensor fusion. These advances enhance environmental perception, localization, and real-time decision-making. This Frost Radar™ evaluates 11 companies shaping the multimodal pe...

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...

This Frost Radar examines advanced driver assistance systems (ADAS), ADAS AI, and next-stage autonomous-driving technologies as a fast-evolving domain reshaping mobility and safety. As automakers, Tier I suppliers, chipmakers, AI software developers, and autonomous mobility companies improve perception, prediction, planning, validation, and vehicle...