Search results for: 'Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review'

This Frost & Sullivan analysis examines the global self-driving technology for ridehailing market. It provides a comprehensive analysis of the effect of self-driving technology on ridehailing globally, highlighting key players, tracking the evolving ecosystem, and investigating the pivotal factors driving the convergence of self-driving capabilitie...

When they work together, software development and operations teams can advance a company's business transformation. The integration of these teams, also known as DevOps, streamlines the legacy software development process. However, with the growing emphasis on the digital transformation, the pace of development and innovation has increased. Therefo...

17 Sep 2024  |  Global  |  Market Research

ADAS and AD Sensor Suite Strategies, Europe, 2024 2030

OEMs Strategies Will Drive Transformational Growth by Using LiDAR as a Primary Sensor with Cameras and Imaging Radar to Meet the Rise of Eyes-off Driving

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Key Issues Addressed

The global automotive industry is going through a transformation with the convergence of the connected, autonomous, shared, and electric (CASE) trends. Connectivity and autonomous driving (AD) features are leading this transformation. Globally, OEMs are looking to introduce various advanced driver assistance system (ADAS) features ranging from L0 t...

The Deep Observability market is evolving rapidly, addressing the increasing need for advanced monitoring and analytics across IT and cloud infrastructures. Deep observability enables organizations to derive actionable insights from vast amounts of telemetry data. It goes beyond metrics, events, logs, and traces to provide granular data visibility ...

Autonomous cities represent an advanced stage of urban development that integrates AI, digital twins, IoT, edge computing, and autonomous infrastructure solutions to enable efficient city operations with minimal human intervention. Through unified urban operating platforms, cities can automate traffic management, optimize energy distribution, conne...

12 Jun 2023  |  Global  |  Technology Research

Industry Cloud Platforms: An End-to-end Specialized Solution

Data-driven Insights Boost the Industry Cloud Platform Growth Pipeline

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An industry cloud platform is designed to meet the specific needs of respective industries. It provides sector-specific solutions and services through the cloud, such as data analytics, machine learning, and asset management, to help organizations improve efficiency, reduce costs, and drive innovation. The adoption of industry cloud platforms is...

Level 4 autonomous vehicles or self driving vehicles have a high level of automation in which the vehicle can perform all driving tasks and monitor the driver’s environment. The vehicle can operate without the driver’s inputs or oversight under certain conditions, such as type of road or geographic area. Level 5 autonomous vehicles have full autom...

For more than a decade, cloud has been a critical force powering digital transformation efforts for enterprises around the world. Hyperscalers, such as AWS and Microsoft, that provide infrastructure- and platform-as-a-service offerings to clients across various industries have been dominating the market. In the past three years, a new chapter in cl...

Cloud infrastructure and platforms form the foundation upon which digital economies are built. For more than a decade, the modernization and migration of applications and data to the cloud have been a priority for companies worldwide. Under the weight of high interest rates, inflation, and sluggish post-pandemic recovery, the growth of the cloud in...