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The Mobility Technology Opportunity Engine (TOE) provides profiles of innovations related to Next-generation Anti-friction Coating, Augmented Reality (AR) Platform, Vehicle-to-everything (V2X)-based Connected Vehicle Solutions, High-performance Electric Drive Technology, Remote-controlled Vehicle Platform, AI-driven Connected Mobility Platform and ...

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 discusses LIDAR as a part of a sensor suite in Advanced Driver Assistance Systems (ADAS) in next-generation automated passenger vehicles. It analyses which type of LIDAR would best enable active safety and automated driving functions, especially as Original Equipment Manufacturers (OEMs) are now accepting LIDAR as integral for partial to...

07 Nov 2016  |  North America  |  Market Research

Market Analysis of Premium European OEMs' ADAS and Automated Driving (AD) Strategies

Along with Level 3 and 4 Functions, Shared Mobility Portfolio to Play a Key Role in OEMs’ Future Business Models

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While OEMs are racing towards achieving L4 and 5 automation features in their vehicles in developed markets such as NA and Europe, there will be major improvements in the ADAS sensors that will be used to achieve the desired features. Every OEM is working on a strategy that is different from others in terms of the level of automation desired. With ...

Advanced robotics and autonomous systems (RAS) are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including healthcare, manufacturing, automotive, and agriculture. Continuous advancements in hardware and AI-based decision-making are reshaping the capabi...

The automotive industry is experiencing a significant transformation, transitioning from conventional to software-defined vehicles. As vehicles develop into intelligent, connected platforms driven by electrification, autonomous driving technologies, and digital services, traditional original equipment manufacturers (OEMs) are confronted with increa...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...

The additive manufacturing sector has seen significant growth in recent years owing to growing demand for customized products and complex geometries in various sectors, including automotive, defense, aerospace, consumer electronics, manufacturing, and energy. AI has a wide range of applications in additive manufacturing at various levels and is a k...

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...