Automotive LiDAR Sensor Market:
Automotive LiDAR Sensor enables the vehicle to run automatically by detecting objects in the field of view with greater navigation capabilities. The LiDAR sensor comprises four main constituents such as Lasers, Scanners, Photodetector receivers, and GPS positioning or navigation systems. LiDAR sensors have cutting-edge technology and it makes self-driving vehicles work. Automotive LiDAR Sensor provides a 360-degree environmental view and a 3D mapping feature. It has a long-range high-resolution view and low power consuming feature to perform optimally.
Automotive LiDAR Sensor is based on high definition 3D images for a long-range and high resolution in less power. With this advanced technology for optimizing optical resolution and environment identification that gives the self-driving vehicle optimal reaction time. Automotive LiDAR Sensor provides 3D visualization of the vehicles surrounding and can avoid the obstacle. This ensures the safe navigation of the vehicle. The Automotive LiDAR Sensor includes automatic speed control, adaptive cruise control system, and braking systems. The technology is adopted by autonomous and semi-autonomous cars.
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Automotive LiDAR Sensor can work even in darkness and this feature increases its demand. With the increase in the production of ADAS cars, the demand for Automotive LiDAR sensors will also increase. Automotive LiDAR Sensor can detect lane markings and can also distinguish objects. The sensor uses a pulsed laser to detect the velocity, distance, and angle with high precision. The market of Automotive LiDAR Sensor has promising potential with its high-resolution 3D visualization feature through which vehicle surroundings can be detected accurately.
Global Automotive LiDAR market is expected to value at USD 13,931.0 Million and Global shipment is expected to reach by 23,945 thousand units by the year 2030.
Company Analysis – Velodyne,. Teledyne Optech, Trimble Inc, Leddar Tech, LeiShen Intelligent Sensor Co, AEye (former US LADAR), Argo AI, Blackmore, Benewake, Cepton Technologies, Espros Photonics Corp, Excelitas Technologies, Fastree 3D.
By type, the Global Automotive LiDAR Sensor market in the section – Autonomous Cars and ADAS Cars. Autonomous Cars can sense its environment and move safely by using its navigation system and without the need for any human intervention. Autonomous Cars integrate a variety of sensors to perceive their environments, such as LiDAR, RADAR, inertial measurement units, GPS, and odometry. ADAS Cars are equipped with an automated system that helps the driver while driving or parking. It is designed with a human-machine interface which increases safety and better driving. By technology, the Global Automotive LiDAR Sensor market in the section – Mechanical LiDAR-Large form factor, Solid State, MEMS, Mechanical LiDAR-Small form factor, and Flash LiDAR.
Europe and North America’s Automotive LiDAR Sensor market achieve growth due to technological advancement in autonomous driving vehicles. The advancement in algorithms, automated driving and application of software for mapping and localization has made self-driving possible. With increasing economy and per capita income the market of Automotive LiDAR Sensor will grow significantly. The huge investment in research and development in vehicle autonomy will drive the market ahead. South America’s Automotive LiDAR Sensor market achieves growth with high-precision LiDAR sensors that enable vehicle area detection. The technical advancement in the automobile industry will also affect market performance. Asia-Pacific (APAC) Automotive LiDAR Sensor market to achieve growth by developing advanced sensor technology to provide security and safety to passengers and drivers.
November 06, 2019. Nio Inc., a Chinese electric car startup and Intel Corp’s self-driving car technology firm Mobileye announced their partnership to develop autonomous vehicles for the consumer market in China and then expand to other countries. The self-driving system designed by Mobileye will be produced and manufactured at a mass scale by Nio and will be integrated into Mobileye’s driverless ride-hailing services and Nio’s electric-vehicle.
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