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Lidar Sensor - List of Manufacturers, Suppliers, Companies and Products

Lidar Sensor Product List

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[Research Material] Global Market for Automotive LiDAR Sensors

[Research Material] Global Market for Automotive LiDAR Sensors

Global Market for Automotive LiDAR Sensors: Solid-State LiDAR, Mechanical/Scanning LiDAR, OEM, Research

This research report (Global Automotive Lidar Sensor Market) investigates and analyzes the current status and outlook for the global automotive lidar sensor market over the next five years. It includes information on the overview of the global automotive lidar sensor market, trends of major companies (sales, selling prices, market share), market size by segment, market size by major regions, and distribution channel analysis. The market segments by type include solid-state lidar and mechanical/scan lidar, while the segments by application focus on OEM and research. The regional segments are divided into North America, the United States, Europe, Asia-Pacific, Japan, China, India, South Korea, Southeast Asia, South America, the Middle East, and Africa to calculate the market size of automotive lidar sensors. It also includes the market share of major companies in the automotive lidar sensor sector, product and business overviews, and sales performance.

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[AutoL] Rider Sensor

[AutoL] Rider Sensor

High-performance sensors suitable for forward detection in autonomous driving, with a detection range of over 250 meters.

LiDAR (Light Detection and Ranging) is a device that uses high-powered pulsed lasers to measure the time it takes for laser beams to reflect off objects and return, thereby obtaining distance information. It is a core electronic component for autonomous robots and vehicles, measuring distances to various targets in the driving environment at each point, and recognizing the accurate distance and shape of objects (driving obstacles) as spatial information through a three-dimensional spatial information recognition sensor. When data points are collected, the three-dimensional spatial information recognized as spatial information is completed, which is referred to as a Point Cloud. Using Point Clouds, OEMs and system companies utilize this data for object recognition (Object Detection & Classification) to develop autonomous driving systems for robots and vehicles.

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