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Each LiDAR model and manufacturer is different and more appropriate for certain contexts.

Why All LiDAR Sensors Aren't Created Equal

This article explores LiDAR differences and why customers use multiple vendors to meet their needs.


With decades of experience working with various LiDAR vendors and the compatibility of Outsight’s Spatial Intelligence Platform with all relevant ones, we often get asked: which is the best LiDAR sensor?

The reality is that, unlike cameras, which are technically similar and use the same technology principles, devices using LiDAR technology can be made in many different ways. Therefore, the best solution can only be determined for a specific context.

This article aims to clarify these different design choices and help you understand why most of our customers use an average of three different hardware vendors on the same premises.

First, it’s highly recommended to read these two key articles to understand what is LiDAR and how Lidar works:

Understanding the basics of 3D LiDAR Technology

Light Detection and Ranging, also known as LiDAR, is a technology for remote sensing that is used to measure distances in an environment.

Read article →

Why Do You Need LiDAR Sensor Freedom?

Choosing a LiDAR-based solution for your operations, whether in an airport, a train station, a logistics center, or a city infrastructure, means more than selecting a sensor.

Read article →

The differences between LiDARs

The following are some of the variables a manufacturer must choose to build their device:

VariableMost popularOther Options
Device typeRotatingDome-like, Narrow Field of View
Illumination techniqueScanningFlash, Hybrid
Detection methodDirect Time of FlightFMCW, Others
Laser technologyDiodeFiber Laser, Others
Peak power (Range)KilowattsTens of Watts
Laser Wavelength905nm1550nm, 1064nm, 840nm
Receiver technologySiliconInGaaS, Others
Horizontal Field of View360ºFrom 20º to 360º
Vertical Field of View30ºFrom 20º to 360º
Angular ResolutionTenth of degreesDegrees
Frame-rate20fps10fps, Up to 1000fps
Points per secondMillionsHundreds or Tens of Thousands
RangeTens of MetersHundreds of Meters
PatternRepetitiveRandom, Others
Reflectivity dataYesNo, Yes with additional data
Laser Hits per azimuthSingleDouble, Multiple
Network ProtocolUCPTCP, Proprietary

Each of these choices can be combined, theoretically resulting in over 15 million possible lidar sensor designs!

In reality, not all variables are independent (e.g., resolution depends on others like FoV, points per second, and frame rate), but there are still many different possibilities.

A key question is: is there any value for the end user in creating different sensor configurations?

Let’s use just one of these variables to see how this concretely translates into advantages and disadvantages for the user.

Choosing the right Field of View

As a reminder, the Field of View (FoV) is the portion of the scene illuminated by the lasers, defined as Horizontal FoV (hFoV) and Vertical FoV (vFoV).

Different vendors propose multiple lidar sensors configurations.

For instance the lidar scanner Hesai XT-32 has a Horizontal Field of View of 360º and 31º vertically and Ouster OS-0 some 90º in vFoV (both Rotating LiDARs).

Robosense’s Bpearl illuminates the scene in similar FoV but using a Dome-like pattern, while Seyond Falcon K LiDAR focus its laser energy in a 120º x 25º FoV.

Hesais XT32 LiDAR Specs

From Hesai website’s, Field of View of XT32 LiDAR

Ouster LiDAR OS-0

Ouster LiDAR OS-0

Robosense B-Pearl specifications

Robosense B-Pearl specifications

Seyond Falcon K LiDAR

Seyond Falcon K LiDAR

For a given total energy budget, illuminating a wider field of view comes with drawbacks like lower Detection range and/or Resolution.

The figure below illustrates the consequences in detecting persons depending on the chosen trade-offs:

Some persons will be detected or missed depending on the lidar configuration

Some persons will be detected or missed depending on the lidar configuration

In reality, this drawing is too simplistic. It depicts the detection zone as a continuous field, while in fact, the laser pulses are fired at specific angles, creating blind zones that can be large enough to cause missed detections:

On the left, due to angular resolution (or the density of LiDAR beams per meter), some individuals are missed even if they are within the detection range. Others (in yellow) may be detected but with only a few points, which may not be enough to distinguish them from noise.

On the left, due to angular resolution (or the density of LiDAR beams per meter), some individuals are missed even if they are within the detection range. Others (in yellow) may be detected but with only a few points, which may not be enough to distinguish them from noise.

To make things even more interesting, don’t forget the Vertical Field of View and Vertical Angular Resolution, which can vary greatly between sensors:

Because of their Vertical Angular Resolution, some Laser Beams will not detect some persons

Because of their Vertical Angular Resolution, some Laser Beams will not detect some persons

What about sensor cost?

If your application can’t accept these missed detections, a quick and easy solution is to add higher-resolution and wider field-of-view sensors, but this comes with a cost.

Each sensor design choice relies on very different underlying technologies:

A manufacturer using a fiber laser solution with an InGaAs detector will achieve much longer ranges [see our article on the Details of LiDAR for more information], but the bill of materials and manufacturing costs will be much higher than using CMOS-based Diode LiDAR.

It may surprise external observers that the pricing range of different models and manufacturers can go from a few hundred dollars to more than $20,000!

This huge difference creates tremendous room for optimization, or overpaying if the wrong hardware is used. In many cases, a combination of cheaper sensors may deliver better results and lower total cost of ownership (including setup, networking, and processing costs) than using high-cost ones.

Welcome to Hardware Freedom

Operators of infrastructure and high-dwell spaces, such as airports, rail stations, quick-service restaurants, and tourism sites, don’t have homogeneous facilities or needs.

On the same premises, they need to simultaneously monitor narrow, long aisles indoors with low-height ceilings, large halls with high ceilings, as well as track vehicles outdoors over wide open parking areas.

This requires using the right combination of sensors and manufacturers for the right context, in order to optimize performance and cost.

Outsight’s Spatial Intelligence software platform offers a comprehensive set of capabilities that leverage the unique value of 3D data to deliver actionable insights, which includes abstracting this hardware complexity.

In this context, two key capabilities of Outsight’s software address the complexity of choosing and using the right combination of LiDAR manufacturers and models: a multi-vendor simulation tool during the design phase and a LiDAR-agnostic processing module during the operations phase.

First Multi-Vendor 3D LiDAR Simulator Unveiled

Outsight has developed a LiDAR simulator for any use case and application, from airports to mobile robotics, smart cities and industrial applications.

Read article →

Our real-time processing software module is compatible with all relevant lidar hardware

Our real-time processing software module is compatible with all relevant hardware

To learn more, don’t miss our latest whitepapers and webinars, or contact a Product Specialist.

Don’t miss the LiDAR Directory for a comprehensive list of all relevant hardware companies in the LiDAR market.


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An in-depth comparison of LiDAR, Cameras, and Radars' technology

This article explores the capabilities and limitations of each type of sensor, to provide a clear understanding of why LiDAR has emerged as a strong contender in computer vision tech race.

TECHNOLOGY

How does Lidar work? (in detail)

3D LiDAR is a complex technology that enables unprecedented Spatial Intelligence. Many engineering choices are possible when building a new device.

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Frequently Asked Questions

  • Why do most infrastructure deployments use LiDAR sensors from multiple vendors rather than one?

    A single facility typically contains very different monitoring zones: narrow corridors with low ceilings, tall open concourses, and wide outdoor vehicle areas. No single LiDAR model optimizes range, resolution, and cost across all three simultaneously. Using a mix of vendors allows operators to match sensor characteristics to each zone, reducing total hardware cost while maintaining detection reliability across the whole site. This is why the SHIFT platform was built with native compatibility across multiple LiDAR hardware brands, including Hesai, RoboSense, Ouster, Velodyne, and Seyond, so that operators at complex sites like airports or transit stations can deploy the right sensor in each zone without being locked into a single vendor's constraints.

  • What happens to detection accuracy when a LiDAR's field of view is too wide for a narrow corridor?

    Spreading laser energy across a wide horizontal field of view reduces beam density per meter at any given distance. In a narrow corridor, this can mean a person standing at mid-range falls into the gap between two adjacent beam angles and is never hit by a pulse. The sensor may report an empty zone when a person is physically present. Tighter field-of-view sensors concentrate pulses, increasing angular resolution and reducing the probability of a missed detection in confined spaces. Because different environments demand different sensor geometries, Outsight's SHIFT platform is built for multi-vendor LiDAR compatibility, spanning hardware from Hesai, RoboSense, Ouster, Velodyne, and Seyond, so operators can select the sensor characteristics that match each zone rather than accepting a one-size-fits-all deployment.

  • How much does LiDAR sensor cost vary across the market right now?

    The price range across available models runs from a few hundred dollars to more than $20,000 per unit, depending on technology choices: laser type, detector material, range, and resolution. A fiber laser with an InGaAs detector delivers much longer detection range than a CMOS-based diode design but carries proportionally higher manufacturing costs. In many deployments, a combination of lower-cost sensors covering a zone in greater numbers outperforms a single high-cost unit in both detection quality and total cost of ownership. Outsight's SHIFT platform is designed around this reality, supporting multi-vendor LiDAR hardware from manufacturers including Hesai, RoboSense, Ouster, Velodyne, and Seyond, so operators can match sensor cost tiers to specific coverage needs without being locked into a single hardware price point.

  • Does vertical angular resolution affect whether a LiDAR can detect a seated or crouching person?

    Yes. Vertical beam spacing determines whether laser lines pass above or through a target at a given distance and sensor mounting height. A sensor with coarse vertical angular resolution may fire one beam over a seated person's head and the next below their torso, returning too few points for the perception pipeline to classify the target reliably. Sensors with denser vertical beam distributions, such as the Ouster OS-0 with a 90-degree vertical field of view, are chosen specifically for deployments where low-height or non-standing postures must be tracked. Outsight's SHIFT platform is designed to work across multiple LiDAR vendors, allowing operators to match sensor specifications to detection requirements at each location, whether the goal is tracking seated passengers in an airport terminal or crouching workers on a factory floor.

  • What is the role of a LiDAR simulator before a site deployment?

    A multi-vendor LiDAR simulator tests candidate sensor configurations against the actual geometry of a planned deployment before any hardware is purchased or installed. It models how different sensor models, mounting positions, and field-of-view combinations cover a site, identifies blind zones, and quantifies detection confidence across zones. The SHIFT platform from Outsight includes this 3D simulation capability, allowing operators to evaluate cost-performance trade-offs across sensors from vendors such as Hesai, RoboSense, Ouster, and Velodyne before committing to a layout. The result is a validated sensor mix for each area of the site without expensive on-site trials.

  • Can a low-cost LiDAR sensor outperform an expensive one in the right context?

    In practice, yes. A less expensive sensor with a field of view and angular resolution matched precisely to a short-range indoor corridor will produce denser point coverage of that zone than a high-cost long-range sensor designed for outdoor use. Total cost of ownership includes not only the unit price but cabling, networking, edge processing, and maintenance. A well-matched lower-cost sensor typically generates fewer false negatives in its intended zone and lowers the hardware budget, leaving room to cover more of the site. This is why multi-vendor LiDAR strategies matter: Outsight's SHIFT platform is built for LiDAR-native, multi-vendor compatibility across hardware from Hesai, RoboSense, Ouster, Velodyne, and Seyond, allowing operators to pair each sensor model to the environment where it performs best rather than forcing a single device across an entire deployment.