AEye Apollo LiDAR selected for 2028 lunar rover deployment

By Olivia Hart

NASA expects to receive Lunar Outpost’s Pegasus Lunar Terrain Vehicle in 2027 and deploy it around the Moon’s South Pole in 2028, where it will transport astronauts and cargo, according to the space agency.

Golden, Colorado-based Lunar Outpost develops and builds rovers, space robotics and lunar mobility systems for NASA’s Artemis-era exploration program. The company chose Dublin, California-based AEye’s Apollo long-range 3D light detection and ranging (LiDAR) sensor for Pegasus integration.

What does Apollo contribute to Pegasus?

AEye specifies Apollo’s 1550 nm laser, field of view of up to 120 degrees and point-cloud rate of 6.2 million to 6.4 million points per second for long-range object detection in automotive safety, autonomous driving, trucking, robotics, defense and aerospace.

Those figures are vendor specifications, not independent performance results reported here. Apollo uses software-defined scanning, allowing scan adjustment through software rather than fixed hardware.

Lunar Outpost Chief Science Officer Forrest Meyen said the company selected Apollo for its “rugged, robust solid-state design, software-defined architecture, and compact form.” Apollo measures 3.8 by 15 by 13 cm, a housing size intended for tight installation spaces.

At its core, a microelectromechanical system (MEMS) scanner uses one moving part about 1 mm in diameter. Fisch said the part’s almost negligible inertial mass attracted Lunar Outpost because of its implications for ruggedness and reliability.

What has to survive?

Before operation, Apollo must survive launch, lunar vacuum, intense radiation and large temperature swings. The task also differs from single-function, one-dimensional LiDAR used for docking: the lunar rover needs 3D sensing to characterize objects and perform complex autonomous operations.

AEye CEO Matt Fisch said: “Space mobility is a new market opportunity for AEye, and the lunar environment represents the most demanding proving ground any sensor can face: no atmosphere, no margin for error, and no opportunity for in-mission repair.”

Fisch said his team began with Apollo’s automotive operating envelope, where cars run from -40°C to 50°C, and treated that demanding baseline as a starting point for space hardening. In his account, developing space-grade LiDAR from the ground up could have taken many years.

AEye and Lunar Outpost are also co-developing the sensor enclosure. Lunar Outpost contributes its experience building rugged hardware, while AEye supplies the optical system and software-defined scan.

What did the tests establish?

For Pegasus, Apollo underwent 1,000 g shock testing—sudden acceleration or deceleration equal to 1,000 times gravity—to verify that it could withstand severe impacts. AEye describes this as a severe-impact survival check; the account gives no explicit pass criterion.

The announcement gives no shock pulse duration, test axes, sample quantity or failure criteria. It therefore identifies the disclosed shock level, but not a complete lifetime-reliability record.

Fisch said the MEMS mechanism also worked quite well in vacuum testing because of its low inertial mass and very light mechanical structures. No vacuum level, duration, temperature or measurement uncertainty accompanies that result.

Fisch also contrasted Apollo with the large external coffee-can-shaped enclosures he had seen on a Waymo autonomous taxi, containing motors and mechanical mirrors. He said they do not survive; the announcement offers no comparative test to support that assertion.

What environmental physics drives the redesign?

Earth’s magnetosphere protects living things from dangerous space radiation, whereas the Moon lacks equivalent global protection, according to Fisch. Moving from lunar shadow into direct sunlight can change temperature by 500°F, so the enclosure and scanner must tolerate rapid thermal cycling as well as vacuum.

The thermal figure is not a qualified operating range or a reported Apollo test result. Likewise, the account cites radiation exposure as a design concern without publishing a radiation dose, shielding design or electronics test level.

How will LiDAR guide the rover?

LiDAR supplies a point cloud, or detailed 3D representation of the environment, to the navigation system. The core task of measuring surroundings and delivering usable data remains the same on Earth and the Moon.

Fisch said lunar perception must provide more terrain detail than most present autonomous vehicles obtain. The rover must identify objects, measure slopes, assess surface roughness and determine safe paths because it cannot rely on a mapped road network.

Present autonomous cars often depend mainly on cameras and use LiDAR as supplemental data, whereas lunar exploration requires broader use of LiDAR, according to Fisch. The system must reason over terrain rather than merely detect familiar road objects.

Laser returns can reveal surface-material characteristics as well as generate 3D maps, allowing AI-powered systems to identify features and objects in real time. The road dangers Fisch cited—children entering streets and cars pulling out—illustrate why terrestrial assumptions cannot simply transfer to lunar navigation.

What could return to Earth?

Fisch expects the one-off lunar project to advance terrestrial uses of rugged, software-defined LiDAR, especially driving in bad weather. That benefit remains a forecast, not a result demonstrated by the Pegasus program.

AEye recently partnered with the University of Toronto’s Robotics School on navigation in adverse climates. Fisch said the work can identify hazardous road conditions such as black ice and support navigation in heavy snow, fog or dust.

He also argues that LiDAR can discard irrelevant scene data while retaining the information a machine needs, even when the resulting image looks incomplete to a person. His predicted benefit is simpler vehicle computing, faster deployment of new features and wider accessibility.

No public benchmark in the announcement quantifies those benefits. It provides no measured cost, latency or deployment-time figure for the University of Toronto or lunar efforts, so neither claimed efficiency gain is yet a procurement benchmark.

Can the 2028 schedule survive qualification?

The announcement does not identify acceptance thresholds for range, point accuracy, radiation tolerance, thermal cycling or retained point-cloud rate. The disclosed specifications establish what AEye claims Apollo can do; the disclosed tests cover only the limited conditions Fisch described.

Which acceptance thresholds will govern Pegasus integration, and can the combined shock, vacuum, radiation and thermal qualification record be completed before NASA’s expected 2028 deployment?