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Innovations in Radar-on-Chip, Wireless Electric Vehicle Charging Systems, Artificial Intelligence, and In-vehicle Sensing Solutions

  • ID: 4876683
  • Report
  • November 2019
  • Region: Global
  • 38 Pages
  • Frost & Sullivan
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This Mobility TechVision Opportunity Engine (TOE) profiles advancements in radar-on chip, electric vehicle charging, AI chipsets, 5G communication, wearables, in-vehicle sensing and LiDAR solutions, autonomous vehicles, connected vehicles, and cybersecurity.

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 potentially offering commercial value. Each monthly TOE provides subscribers valuable descriptions and analyses of 10 noteworthy innovations. The main focus is on highway-licensed motor vehicles (light, medium and heavy). Passenger cars, trucks, buses, motorcycles, scooters and railway locomotives are within the product scope, energized by any fuel. Many of the innovations concern powertrains (internal combustion engines, turbines, battery electrics, fuel cell electrics, hybrid-electrics), as well as drivetrains (including transmissions), interiors seating and displays, advanced materials as for body/chassis, wireless connectivity, and self-driving technology that is currently receiving so much attention. The A&T TOE outlines and evaluates each innovation, notes which organizations and developers are involved, projects the likely timing for commercialization, furnishes a patent analysis and provides valuable strategic insights for industry stakeholders.

The Advanced Manufacturing and Automation (AMA) Cluster covers technologies that enable clean, lean and flexible manufacturing and industrial automation. Technologies such as three-dimensional (3D) and four-dimensional (4D) printing, wireless sensors and networks, information and communication technology, multi-material joining, composites manufacturing, digital manufacturing, micro- and nano-manufacturing, lasers, advanced software, and printing techniques, are covered as part of this cluster. The technologies covered here impact a wide range of industries, such as the impact semiconductor, automotive and transportation, aerospace and defense, industrial, healthcare, logistics, and electronics industries.

Note: Product cover images may vary from those shown
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Innovations in Radar-on-Chip, Wireless Electric Vehicle Charging Systems, Artificial Intelligence, and In-vehicle Sensing Solutions

  • Advancements in Mobility
  • Radar-on-chip Enables High-Efficiency Signal Output and Better Resolution
  • Application Diversity and Analyst Viewpoint
  • Wireless Electric Vehicle Charging System Enables Lossless Charging and Compensates for Vehicle Misalignments
  • Application Diversity and Analyst Viewpoint
  • Nanowire Backward Diode with High Sensitivity Finds Applications in 5G Communication
  • Application Diversity and Analyst Viewpoint
  • AI Chip Achieves Superior Performance Finding Applications in Real-time Operations
  • Application Diversity and Analyst Viewpoint
  • Quality Inspection System with Artificial Intelligence
  • Impact on Sectors
  • Wearables for Better Productivity in Shop Floor
  • Impact on Sectors
  • High Concavity Seating Technique for Superior Driver Comfort in Cars
  • Impact on Sectors
  • In-vehicle Sensing Solution for the Autonomous Automotive Market
  • Impact on Sectors
  • New Research Centers For Level 4 Autonomous Driving
  • Impact on Sectors
  • Next-gen Automotive Chipset to Transform In-vehicle Connectivity
  • Impact on Sectors
  • Next-gen Vehicle Radar Test System for Connected Vehicles
  • Impact on Sectors
  • Automated Advanced Diagnostic Technology for Connected Vehicles
  • Impact on Sectors
  • Long-range LiDAR Solution for Autonomous Vehicles
  • Impact on Sectors
  • Open Cyber Security Platform for Automobiles
  • Impact on Sectors
  • Solid-state LiDAR Solution for Autonomous Vehicles
  • Impact on Sectors
  • Key Contacts
Note: Product cover images may vary from those shown
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