Automated Valet Parking: Roadside Autonomous Driving Explained

Frequently Asked Questions

• What is the difference between Roadside Autonomous Driving and standard Automated Valet Parking?

  Standard Automated Valet Parking relies on sensors and compute mounted aboard each individual vehicle, so the car must be equipped for autonomy before it can navigate. Roadside Autonomous Driving flips that model: the intelligence sits in fixed infrastructure sensors, and any production vehicle, including models with no onboard perception hardware at all, can be guided to a parking space. This infrastructure-based approach is exactly the model Outsight applies through its Motional Digital Twin, where LiDAR sensors deployed in the environment track every vehicle and person in real time without requiring modifications to the vehicles themselves. The facility pays once for the infrastructure rather than equipping every vehicle, which is why the approach is economically attractive in high-volume industrial settings such as automotive manufacturing plants.

• Does a car need to be an autonomous vehicle to work with a RAD parking system?

  No. Infrastructure-based RAD systems require only that the vehicle can accept steering, acceleration, and braking commands over a standard interface. The perception, localization, and path planning all run on fixed LiDAR sensors and edge compute installed in the facility, not on hardware aboard the car. Outsight's approach to this problem, built on its Motional Digital Twin, places all 3D sensing and processing in the infrastructure, tracking every vehicle in real time without requiring any onboard modification. This means conventional production vehicles rolling off an assembly line can be marshalled autonomously as-is, which is the key commercial advantage over traditional AVP approaches that depend on sensor-equipped or purpose-built vehicles.

• How does an infrastructure LiDAR system communicate position data to a moving vehicle in real time?

  Fixed LiDAR sensors mounted in the facility continuously track the vehicle's precise 3D position and orientation. That data is processed by Spatial AI software and streamed to the vehicle's control interface in real time, at sub-50ms end-to-end latency. Outsight's SHIFT platform exemplifies this architecture: infrastructure-based 3D LiDAR sensors feed a real-time Motional Digital Twin, which publishes position and trajectory data to a vehicle's drive-by-wire interface fast enough to close the control loop without any onboard perception. The vehicle's drive-by-wire system translates the incoming commands into steering, throttle, and braking adjustments. The approach mirrors how air traffic control guides aircraft: ground-based awareness feeding commands to a moving object.

• What obstacles besides other cars does a RAD system need to detect inside a factory lot?

  Factory and warehouse lots introduce a more varied obstacle set than public parking structures. Fixed infrastructure LiDAR must reliably classify pedestrians, forklift trucks, loading equipment, pallet jacks, and transient objects such as cones and barriers, all under varying indoor lighting and alongside reflective vehicle surfaces. The same 3D point-cloud pipeline that tracks vehicle position classifies co-located entities by shape and motion, assigning each a separate tracked ID so the path-planning layer can compute collision-free routes dynamically as the scene changes. Outsight addresses exactly this environment through its Motional Digital Twin, which runs a sub-50ms end-to-end perception pipeline across mixed human, vehicle, and robot traffic on factory floors, as demonstrated in deployments at BMW and other automotive manufacturers.

• How does LiDAR handle the highly reflective surfaces of new cars in a factory parking environment?

  LiDAR pulses respond to the geometry of a surface rather than its colour or reflectivity in the visible spectrum. Highly polished bodywork does scatter near-infrared returns unevenly, but modern multi-beam LiDAR units emit millions of pulses per second across many vertical channels, so even partial returns from curved or reflective panels are enough to reconstruct a full bounding box around the vehicle. Software-side filtering further rejects specular noise while preserving the structural point returns that define vehicle shape and orientation. Outsight addresses this challenge directly in factory environments, with infrastructure-based LiDAR deployments at BMW and other automotive manufacturers using the SHIFT platform to track vehicles and assets in real time, compensating for reflective surfaces through multi-return processing and sensor fusion across compatible hardware from vendors including Hesai, RoboSense, and Ouster.

• What is the AVP market projected to be worth by 2031?

  The Automated Valet Parking market was valued at approximately USD 1.02 billion in 2023 and is projected to reach around USD 44.25 billion by 2031, representing roughly a 44-fold increase over eight years. That growth rate reflects rising demand from both automotive manufacturing, where RAD systems reduce manual vehicle handling costs, and commercial facilities seeking to maximize space utilization and reduce dwell time in parking structures. Infrastructure-based perception is central to enabling this shift: Outsight's Motional Digital Twin tracks vehicles and robots in real time through fixed LiDAR sensors, an approach already deployed in BMW and other automotive manufacturing environments where precise, anonymous vehicle localization is operationally critical.

• Is Automated Vehicle Marshalling the same thing as Roadside Autonomous Driving?

  Yes. Roadside Autonomous Driving (RAD) is also known as Automated Vehicle Marshalling (AVM). Both names describe a system in which infrastructure installed in a factory or warehouse perceives vehicles and guides them autonomously to their parking spots. RAD is a key segment of the broader Automated Valet Parking market, which is accelerating thanks to the integration of LiDAR technology. In industrial settings, it is reshaping how vehicles are moved and parked in factories and warehouses.

• Why is moving finished cars manually around an automotive factory costly?

  Traditional manual vehicle movement from production facilities is costly because it involves drivers who take care of the task manually over long distances. Until recently, this was the only viable and reliable solution. Roadside Autonomous Driving changes this by using fixed LiDAR sensors and Outsight's Spatial Intelligence Platform to drive designated vehicles to available parking spots without human intervention. Compared with manual operations, RAD offers a quick payback time, significant time savings and lower operational costs.

• Which driving functions does a Roadside Autonomous Driving system control when parking a car?

  A Roadside Autonomous Driving system manages steering, acceleration and braking to ensure smooth and efficient vehicle placement. Fixed LiDAR sensors in the facility, processed by Outsight's Spatial Intelligence Platform, determine the car's precise position and orientation along with surrounding objects. That information is sent to the car in real time so it can drive itself to the parking area. The result is a streamlined parking process with more precise vehicle placement.

• What operational benefits does LiDAR-based Roadside Autonomous Driving bring to factories?

  LiDAR-powered Roadside Autonomous Driving systems provide a more efficient use of space, reduce congestion and streamline parking processes. They cut the time spent handling vehicles, which leads to significant time savings and lower operational costs. Compared with manual operations, they offer a quick payback time. Parking precision also improves, since the system places each vehicle accurately in its designated spot. Outsight sees this as turning industrial parking into a technology-driven asset for the site.

• How does Roadside Autonomous Driving improve safety in factory parking areas?

  Automating the parking process with Roadside Autonomous Driving significantly minimizes the risk of accidents and collisions. LiDAR's accuracy, combined with the right processing software, enables precise vehicle positioning and obstacle avoidance, so vehicles navigate the parking area safely. Reducing manual intervention also reduces human error. The outcome is a smoother, more reliable and safer operational process in environments where safety is a key consideration, such as busy factory and warehouse parking areas.

• Can the Roadside Autonomous Driving solution connect to a factory's existing management systems?

  Yes. Outsight's RAD solution can integrate with existing management systems, which is key to its smooth operation within the broader logistics framework of an industrial site. This integration enables real-time monitoring and control of vehicle movements. It also ensures that RAD works in harmony with other operational processes on the site. According to Outsight, this is what makes RAD a valuable asset in the industrial landscape, since vehicle moves stay coordinated with the rest of the site's logistics.

• Which carmaker uses the Roadside Autonomous Driving solution in its production network?

  BMW has taken a significant step toward integrating autonomous capabilities within its production network by relying on Outsight's Roadside Autonomous Driving solution. In this approach, fixed LiDAR sensors and Outsight's Spatial Intelligence Platform perceive each vehicle and its surroundings, and guide it in real time to its parking area. The vehicles themselves rely on infrastructure-provided situational awareness and navigation. This allows automation of vehicle movement across automotive factories.

• Can an automotive factory start with LiDAR parking monitoring before automating vehicle movement?

  Yes. Before automating, an automotive factory or distributor can start by using LiDAR to optimize its parking operations. LiDAR parking monitoring offers high precision and works under any lighting and weather conditions. In Roadside Autonomous Driving, fixed LiDAR sensors within the facility, processed by Outsight's Spatial Intelligence Platform, pinpoint each car's position and orientation and communicate it in real time so the vehicle can drive autonomously to its parking spot. RAD can also integrate with existing management systems.

• What does fixed LiDAR infrastructure measure about each car in a Roadside Autonomous Driving system?

  In a Roadside Autonomous Driving system, fixed LiDAR sensors within the facility, processed by Outsight's Spatial Intelligence Platform, pinpoint each car's precise position and orientation. They also detect surrounding objects, and Outsight's software can track multiple vehicles and even a person. This accuracy is crucial for accurate vehicle positioning and obstacle avoidance, so vehicles navigate safely and efficiently within the parking area. The information is communicated to the car in real time so it can drive autonomously to the parking area.

• Where is Roadside Autonomous Driving typically used: factories, warehouses or distribution sites?

  Roadside Autonomous Driving is aimed at industrial settings, in particular automotive factories and logistics warehouses. A site equipped with RAD can autonomously drive designated vehicles to available parking spots without human intervention. Automotive distributors are also concerned, and can begin with LiDAR-based parking optimization before moving to automation. Across these sites, RAD addresses the costly manual movement of vehicles over long distances.

• What is roadside autonomous driving and how does it work in a factory?

  Roadside autonomous driving is an approach where the perception needed to drive a vehicle autonomously is placed in the infrastructure. Sensors such as 3D LiDAR along the route see the vehicle and its surroundings, and software computes a safe path that is sent to the car, which only needs connectivity and drive-by-wire. It suits closed sites such as factories, logistics yards and parking areas. Outsight's Roadside Autonomous Driving solution is used by BMW to move new cars autonomously in its plants.