Image of organized parking lot for Roadside Autonomous Driving (RAD)

Automated Valet Parking: Roadside Autonomous Driving Explained

What it is and how it works, Roadside Autonomous Driving (RAD) solutions, a specific segment of the broader Automated Valet Parking (AVP) market.

Feb 19, 2024
Patrice Laurent

The Roadside Autonomous Driving (RAD), a crucial segment of the broader Automated Valet Parking (AVP) market, is witnessing a remarkable acceleration thanks to the integration of LiDAR technology.

This cutting-edge innovation is reshaping how industrial sectors approach vehicle displacement and parking solutions in factories and warehouses, offering unparalleled accuracy and efficiency.

The expected AVP market's growth trajectory from 2023 to 2031 is nothing short of impressive.

Chart showing the exponential growth of the Autonomous Market Value in USD billions

Starting at a value of approximately USD 1.02 billion in 2023, the market is projected to expand exponentially, reaching around USD 44.25 billion by 2031. This growth showcases the robust demand and potential for RAD and AVP solutions in the industrial domain.

LiDAR (Light Detection and Ranging) technology stands at the core of this growth.
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.

LiDAR's ability to accurately measure distances using laser light pulses makes it superior in many use cases, compared to other technologies like radar and cameras.

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.

Manually Moving Vehicles in Factories is Inefficient

Traditional methods of repetitive vehicle parking from production facilities are costly, as they involve drivers that manually take care of the task over long distances.

Image of full parking lot

Until now, it was the only viable and reliable solution, but three new technology advancements are key enablers of a a new concept.

Diagram showing three tech advancements for full automation

What's Roadside Automated Driving?

An automotive factory or logistics warehouse equipped with RAD (Remote Autonomous Driving) capabilities can autonomously drive designated vehicles to available parking spots without human intervention.

Unlike other types of Automated Valet Parking, where autonomous vehicles are equipped with advanced sensors such as LiDARs, these vehicles rely on infrastructure-provided situational awareness and navigation capabilities.

The system manages steering, acceleration, and braking to ensure smooth and efficient vehicle placement.

This automation not only streamlines the parking process but also enhances the precision with which vehicles are parked.
GIF of Outsight's dashboard showing vehicle tracking for RAD

The benefits of LiDAR-powered RAD systems are multi-fold. They provide a more efficient use of space, reduce congestion, and streamline parking processes, providing a quick payback time compared to manual operations.

This results in significant time savings and a decrease in operational costs.

LiDAR's precision, when used with the right processing software, contributes to enhanced safety standards, a key consideration in these environments.

How does it work?

Fixed LIDAR sensors within the facility, thanks to the Spatial AI software, pinpoint the car's precise position and orientation as well as surrounding objects.

The information is communicated to the car in real-time, so it can drive autonomously to the parking area.

Image of graphic portraying multiple lidars to show exactly where the vehicle is through spatial 3D software
Fixed LIDAR sensors within the facility, thanks to Spatial AI software, pinpoint the car's precise position and orientation as well as surrounding objects.
GIF of Outsight's software dashboard showing vehicle tracking and RAD

The accuracy of LiDAR is crucial for enabling accurate vehicle positioning and obstacle avoidance, ensuring the vehicles navigate safely and efficiently within the parking area.

Image showing the maneuvered vehicle receiving real-time data so it can autonomously park
The information is communicated to the car in real-time, so it can drive autonomously to the parking area.
Automating the parking process with RAD significantly minimizes the risk of accidents and collisions.

RAD also reduces the time spent handling vehicles, contributing to overall operational efficiency. The reduction of manual intervention and human error leads to a smoother, more reliable, and safer operational process.

Outsight's RAD solution can seamlessly integrate with existing management systems.

This integration is key to the smooth operation of RAD within the broader logistical framework of an industrial setting. It facilitates real-time monitoring and control, which further enhances the system's efficiency and effectiveness.

This integration ensures that RAD systems work in harmony with other operational processes, making it an invaluable asset in the industrial landscape.
Image of a simulation of RAD systems for automated parking

The integration of LiDAR technology in RAD systems is setting a new benchmark in automated solutions.

Of course, before automating, an automotive factory or distributor can start using LiDAR to optimise Parking operations:

LiDAR monitoring for Safer and Smarter Parking Lots
With its unrivaled precision and its ability to work under any lighting and weather condition, LiDAR is a great asset for Parking Monitoring challenges.

As the LiDAR market continues to grow rapidly, the potential of these technologies becomes increasingly significant.

LiDAR's precision and efficiency position it as the leading technology in this sector, promising a future where industrial parking is not just a necessity but a sophisticated, technology-driven asset integral to the operational success of industries.


Learn more about the power of RAD applications and how they can be implemented in real-time scenarios:

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