Automating Parking operations through infrastructure-based Physical AI
Automating Parking operations through infrastructure-based Physical AI

Beyond Line-of-Sight Physical AI for Robotics Valet Parking

How Infrastructure Intelligence Enables Autonomous Vehicle Movement in Factories and Warehouses

In automotive factories and logistics warehouses, vehicles must be moved from production lines to finishing areas or parking zones.

Traditionally, this task requires dedicated drivers who manually handle each vehicle over long distances, a costly and inefficient process.

Robotics Valet Parking solves this by enabling vehicles to navigate autonomously to their designated spots without human intervention. But unlike conventional autonomous driving, where vehicles rely on their own onboard sensors, this approach inverts the model: the intelligence comes from the infrastructure.

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

The exponential growth that the autonomous market value has gone through in USD billions

The market is projected to expand exponentially, reaching around USD 44.25 billion by 2031. This growth showcases the robust demand and potential for Robotics solutions in the industrial domain.

Physical AI technology stands at the core of this growth, leveraging the unique value of 3D native Lidar data.
Understanding How Lidar Works
3D LiDAR is a complex technology that enables unprecedented Spatial Intelligence. Many engineering choices are possible when building a new device.

Manually Moving Vehicles in Factories is Inefficient

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

RAD, Roadside Autonomous Driving, increases efficiency in factory parking lots

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

  1. Drive by Wire: Cars can now be seamlessly driven by Electronics and Software.
  2. Physical AI is ready: Outsight solution is in production in five continents, managing millions of tracked objects in real-time.
  3. 3D Lidar sensors are affordable and mature.

What's Robotics Valet Parking?

In an automotive factory or logistics warehouse equipped with this capability, vehicles are autonomously driven to available parking spots without human intervention.

Unlike approaches where each vehicle is equipped with its own advanced sensors, Robotics Valet Parking relies on infrastructure-provided situational awareness. Physical AI, leveraging LiDAR sensors installed in the environment deliver the perception and navigation intelligence that guides each vehicle to its destination.

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.
Outsight's 3D Spatial AI software tracking a vehicle

Infrastructure-Level Intelligence

Fixed LiDAR sensors installed throughout the facility, processed by Outsight's Physical AI software, continuously build a real-time 3D representation of the environment. Each vehicle's position and orientation are tracked with centimeter-level precision, along with all surrounding objects and people.

How using lidar sensors to accurately pinpointing real-time vehicle positions for RAD
Fixed LIDAR sensors within the facility, thanks to Physical AI software, pinpoint the car's precise position and orientation as well as surrounding objects.

This spatial awareness is communicated to the vehicle in real time, under 100ms latency. The infrastructure handles perception, localization, and obstacle awareness, while the vehicle executes the driving commands.

Outsight's solution is hardware-agnostic, processes up to 600 million data points per second, and allows integration with sensors from multiple manufacturers.

The result is more efficient use of space, reduced congestion, streamlined parking processes, and a quick payback compared to manual operations.

This results in significant time savings and a decrease in operational costs.
Outsight's 3D Spatial AI software tracking multiple vehicles and even a person

The accuracy of 3D LiDAR is crucial for enabling accurate vehicle positioning and obstacle avoidance, ensuring the vehicles navigate safely and efficiently within the parking area.

The Lidar data is communicated to the vehicle's software making sure the car can maneuver to the designated parking area autonomously
The information is communicated to the car in real-time, so it can drive autonomously to the parking area.
Automating the parking process significantly minimizes the risk of accidents and collisions.

Beyond Line-of-Sight Benefits

This infrastructure-centric approach delivers concrete operational advantages:

  • Vehicles require minimal onboard sensing, significantly reducing per-unit cost.
  • A single infrastructure deployment supports any number of vehicles, regardless of make or model.
  • Global situational awareness eliminates blind spots, making the entire operation inherently safer.
  • The system integrates seamlessly with existing factory management systems, enabling real-time monitoring and control within the broader logistical framework.

From Valet Parking to Premises-wide Robotics Intelligence

Physical AI leveraging LiDAR technology already enables BMW's latest Series 5, Series 7, and MINI Countryman models to navigate autonomously to their finishing areas.

Outsight’s Physical AI Solution Powers Robotics Across BMW Factories
BMW has taken a significant step toward integrating autonomous capabilities within its production network, relying on Outsight’s innovative Physical AI solution

This showcases the potential of Spatial Intelligence not only in modern manufacturing but in any environment where mobile robots operate.

Robotics Valet Parking is a compelling example of how infrastructure-based Physical AI complements robot-centric perception with environment-centric intelligence, enabling autonomous systems to operate with global context awareness rather than relying solely on their own sensors.

RAD systems are able to easily find empty parking spaces saving time for factory workers

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