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

As organizations shift critical workloads to public, private, and hybrid clouds, encrypted data flows and lateral traffic have created visibility gaps that traditional observability tools cannot close. Deep observability has emerged as a strategic imperative for CISOs seeking to eliminate these blind spots, unify telemetry data, and strengthen cybe...

The autonomous security robot market is undergoing rapid expansion driven by escalating security concerns, advancements in technology, and the pursuit of operational efficiency. This analysis delves into the primary growth prospects within this domain, encompassing the exploration of new verticals such as airports, events, and the BFSI sector. By s...

15 Mar 2018  |  North America  |  Market Outlook

Global Autonomous Driving Market Outlook, 2018

The Global Autonomous Driving Market is Expected Grow up to $173.15 B by 2030, with Shared Mobility Services Contributing to 65.31%

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2018 will see the first true deployment of automation where the vehicle will tell the driver with the first level 3 (L3) autonomous capability by taking the driver out of the loop to be introduced next year. Ironically, this may happen through a software patch update or a flagship generational product launch. Regardless of the medium through which ...

In the cloud market, as well as in most other technology markets, 2024 will be all about artificial intelligence (AI). Businesses across industries are scrambling to determine how they can leverage AI and, particularly, generative AI to meet their business goals. Public cloud providers are at the forefront of the effort to accelerate AI adoption am...

•LiDAR is an imaging technology that enables distance measurement and the construction of precise and detailed 3D mapping solutions. •4D LiDAR will significantly impact the industrial and the automotive sectors (primarily, autonomous vehicles). For Level 4 and 5 automated driving, the automotive industry will choose 4D LiDAR sensor technology rath...

Frost & Sullivan's research on the class 4–8 autonomous retrofitment aftermarket in North America forecasts market size from 2025 to 2032. Forecasts are derived from usage patterns, regulations, replacement rate, new truck sales, and vehicles in operation. The study breaks down the autonomous retrofitment aftermarket by projected installations, rev...

30 Apr 2020  |  North America  |  Market Outlook

Global Autonomous Driving Industry Outlook, 2020

OEMs are Reprioritizing Short-term Economic Returns on Investments into Autonomous Driving (AD) by Adopting L2+ Technologies and Investing in Plug-and-play Platforms

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Key Issues Addressed

The autonomous industry, although developing at a decent pace, has realized that the transition from traditional vehicles to autonomous vehicles is still a long time away. OEMs and Tier-1 suppliers have been pouring in investments to develop technologies for deployments of highly automated vehicles. However, despite overcoming the technological bar...

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...

15 Nov 2016  |  Global  |  Market Research

Global Enterprise Learning Management Systems (LMS) Market, Forecast to 2022

Changing Workforce Dynamics and the Need to Address High Attrition Rates Drive Adoption as Companies Look to Provide Opportunities that Help Employees

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Enterprise learning management systems (LMS) serve as an excellent means to deliver multimedia and interactive course content to today’s generation of digitally connected employees. The global LMS market crossed $1.63 billion in revenue in 2016 and is expected to grow to $3.20 billion at a compound annual growth rate (CAGR) of 11.9%. This market is...