Aeva Aeries LiDAR for self-driving

New reports predict self-driving will massively boost the global LiDAR market, with Aeva’s Aeries 4D LiDAR highlighted.

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Self-driving to super charge global LiDAR market to US$3bn+ within 5 years

Two new reports have highlighted self-driving as one of the main factors predicted to boost the global LiDAR market to at least US$3.4 billion a year by 2026.

According to Polaris Market Research, the global automotive LiDAR market is anticipated to reach US$4.14bn by 2026, increasing at a Compound Annual Growth Rate (CAGR) of more than 35%.

LiDAR for self-driving

The report summary noted: “The Automotive LiDAR market growth is attributed to the increasing demand of autonomous vehicles for active safety and self-driving. As advanced driver assistance systems (ADAS) and autonomous vehicles are expected to witness growth at significant rates, it is expected to have a direct positive impact on the growth in the Automotive LiDAR market.

“These automated vehicles provide opportunities for a large number of firms to access a range of untapped facts, creating new revenue-generating opportunities, which will boost the market growth.

“The solid-state/flash LiDAR market is expected to grow at a very high pace during the forecast period. Solid state sensor being low-cost, robust, as well as compact in size makes it ideal for potential large-scale production of level 3 and level 4 cars in coming years. Further, mechanical sensors and other sensors also capture decent market share.”

Polaris highlight leading industry players including Scans, Velodyne LIDAR, Quanergy Systems, LeddarTech, First Sensor, Novariant, Delphi, Continental, Robert Bosch and Denso.

A separate report, by Markets And Markets, largely concurs with these findings, projecting that the LiDAR market will grow at a CAGR of 21.6% from 2021 to 2026 to reach US$3.4 billion by 2026.

LiDAR for UAVs

However, it focuses more on unmanned aerial vehicles (UAVs) – drones – and 4D LiDAR specifically.

“The rising adoption of LiDAR systems in UAVs, increasing adoption of LiDAR in engineering and construction applications, use of LiDAR in geographical information systems (GIS) applications, the emergence of 4D LiDAR, and easing of regulations related to the use of commercial drones in different applications are among the factors driving the growth of the LiDAR market,” it says.

“However, safety threats related to UAVs and autonomous cars and the easy availability of low-cost and lightweight photogrammetry systems are restraining the growth of the market.

“The market for 4D LiDAR is projected to grow at the highest CAGR from 2021 to 2026. This growth is attributed to the high adoption of 4D LiDAR in applications such as self-driving cars, robots, and other autonomous systems.

“Apart from automobiles, 4D LiDAR has applications in the architecture, engineering, and construction (AEC) industry, entertainment, and AR/VR. Some of the major companies offering 4D LiDAR are Aeva and TetraVue.”

In March, sensing systems developer Aeva announced that its Aeries 4D LiDAR sensors are now supported on the Nvidia Drive autonomous vehicle platform.

As well as measuring distance and plotting the position of objects in x, y and z, Aeva’s 4D-LiDAR plots velocity as a fourth dimension.

Aeva CEO Soroush Salehian on self-driving
Aeva CEO Soroush Salehian on self-driving

Soroush Salehian, Co-Founder and CEO at Aeva (formerly of Apple’s Special Projects Group), said: “Bringing Aeva’s next generation 4D LiDAR to the Nvidia Drive platform is a leap forward for OEMs building the next generation of Level 3 and Level 4 autonomous vehicles.

“We believe Aeva’s sensors deliver superior capabilities that allow for autonomy in a broader operational design domain (ODD), and our unique features like Ultra Resolution surpass the sensing and perception capabilities of legacy sensors to help accelerate the realization of safe autonomous driving.”

Gary Hicok, Senior Vice President of Engineering at Nvidia, added: “Aeva delivers a unique advantage for perception in automated vehicles because it leverages per-point instant velocity information to detect and classify objects with higher confidence across longer ranges.

“With Aeva as part of our Drive ecosystem network, we can provide customers access to this next generation of sensing capabilities for safe autonomous driving.”

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Author: Neil Kennett

Neil is MD of Featurebank Ltd. He launched in 2019.