Search results for: 'hailing artificial intelligence'

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Battery Intelligence, SoCs, Image Sensors, LiDAR and V2X 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 potent...

The Mobility Technology Opportunity Engine (TOE) provides profiles of innovations related to Ride-hailing Services with Autonomous Vehicle, Eco-friendly Transportation through Advanced Electric Carsharing, Customized Shared Transportation Services, Urban Traffic Management, Automotive Power Inductors and Proton Exchange Membrane (PEM) Modules.The p...

Globally, many cities are making concerted efforts to shift away from car dependency toward greener, shared, and electrified transport solutions. As the willingness of people to use shared mobility apps increases, governments and cities are enacting policies to reduce carbon emissions, decrease congestion, and promote sustainable transport options....

The European ridehailing market is rapidly evolving, shaped by technological advancements, changing consumer preferences, and regulatory dynamics. While Uber and Bolt are the formidable players, local and regional competitors such as FreeNow, Cabify, inDrive, Yango Ride, and Heetch each have their own strengths and specific regions of operation, co...

The bike taxi ecosystem across Southeast Asia is undergoing transformational change, shaped by a convergence of regulatory formalization, electrification, digital platform scaling, and evolving driver behavior. This study offers a comprehensive and forward-looking analysis of the bike taxi market across 5 key countries—India, Indonesia, Vietnam, Th...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Urban Mobility, Radar, LiDAR, and Autonomous Fleet Intelligence, 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 bu...

This research study focuses on providing all the presentations from Frost & Sullivan's two-day workshop event held in September 2019 in Tokyo, called Intelligent Mobility. These include presentations from Frost & Sullivan Indian team and a host of other companies such as Amazon Web Services, Connector, DHL, Murata Manufacturing Co, Navitime Japan, ...

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...

Intelligent Mobility Japan, 2020 is a virtual summit organized by Frost & Sullivan on November 24 and 25, 2020. This is a 2-day interactive conference, which hosted on a unique virtual platform to discuss and evaluate Growth Opportunities in new Mobility Business models covering Personal and Public Transport Systems. The conference presenters inc...