Automated Parking: The Architectural Shift OEMs Cannot Afford to Ignore

Key Insights:

• Automated parking is moving from standalone ECUs to shared ADAS compute as OEMs work to cut costs, simplify system design, and align parking with broader SDV strategies.
• ABI Research forecasts that more than 7 in 10 automated parking systems shipped worldwide will share compute with ADAS by 2035, up from 1 in 10 in 2026.
• OEMs need to treat parking as part of a unified autonomy stack. The focus now is camera sensor fusion, strong real-world performance, and seamless park-to-park experiences.

That shift is already underway: automakers are moving away from dedicated parking Electronic Control Units (ECUs) and championing consolidated platforms. ABI Research forecasts that by 2035, 72% of automated parking systems shipped worldwide will share compute resources with Advanced Driver-Assistance Systems (ADAS), up from just 11% in 2026.

Behind this platform, consolidation is a broader commercial imperative. Automotive Original Equipment Manufacturers (OEMs) are under pressure to overcome consumer mistrust in self-driving vehicles while keeping development and after-sales costs under control.

Trust, in particular, is becoming a defining factor. Based on discussions with autonomous vehicle vendors, user attach rates are closely linked to how effectively vehicles handle the complete park-to-park workflow. Most drivers are still used to point-to-point systems, relying on external infrastructure for navigation. Making that jump toward higher levels of vehicle autonomy will hinge on OEMs delivering seamless, end-to-end parking experiences.

By consolidating L2+ parking autonomy and ADAS, costs and technological complexity are reduced to the point where a clearer Return on Investment (ROI) can be achieved.

Two Approaches to Automated Parking, Two Very Different Deployment Outcomes

Automotive OEMs have two architectural options to choose from when designing a vehicle for automated valet parking functionality. Compute can be deployed either on a standalone ECU or within a shared ADAS environment. These two architectures are defined below:

• Integrated Parking System: An integrated system handles automated parking through the Autonomous Vehicle’s (AV) main ADAS architecture. It uses shared perception and centralized domain or zonal compute to manage steering, acceleration, and braking. Parking becomes an extension of the broader driver assistance platform, not a separate function.
• Standalone Parking System: A standalone parking system handles automated parking through a dedicated parking control unit. That unit has its own perception, processing, and validation stack. The automated parking feature, therefore, operates independently from the main ADAS compute platform. This approach offers less compatibility with the rest of the vehicle’s automation roadmap, which hinders Software-Defined Vehicle (SDV) development.

Standalone parking systems have historically been the default option. That approach is now giving way to more unified architectures that combine sensing, perception, and software into a single platform. The business value of these centralized domain controllers is significant for carmakers.

Table 1: Integrated Versus Standalone Automated Parking System Architecture Comparison

Why Are Automakers Turning to Shared ADAS Compute for Autonomous Parking?

Lower hardware costs are the most immediate benefit of shared compute. A unified ADAS architecture enables resource reuse across multiple vehicle functions. By collocating parking and driving applications, OEMs can reduce hardware duplication, streamline software updates, and build a stronger base for future vehicle autonomy.

Key advantages include:

• Abated system complexity improves profitability. Fewer ECUs are a quick win, minimizing hardware duplication, simplifying system layout, and mitigating integration burden. In many cases, the savings come less from removing sensors and more from shrinking architectural overhead.
• Software and hardware reuse increases resource efficiency. Sharing a compute platform allows OEMs to reuse perception, sensor fusion, and decision-making frameworks across both parking and driving functions. This reduces parallel development work and makes engineering resources more productive. It also helps spread platform investment across a wider set of ADAS features.
• A unified platform simplifies vehicle updates and feature rollouts. Shared compute ensures that parking and driving functions follow the same Over-the-Air (OTA) update cycle. Performance improvements, bug fixes, and new capabilities can be deployed through one common software pathway. This avoids the inefficiency of maintaining separate release cycles for dedicated parking systems.
• System integration becomes easier over time. Moving parking onto centralized domain or zonal controllers can create short-term friction, especially when teams are accustomed to working in silos. Despite this, shared tooling, common validation frameworks, and tighter cross-domain coordination more often than not outweigh the initial transition costs in the long run.
• Shared compute supports long-term vehicle autonomy strategy. Auto manufacturers no longer view parking assistance as just a convenience feature. Industry leaders tell ABI Research that it is becoming part of the wider ADAS and SDV roadmap. OEMs that integrate parking into a common compute and perception stack are better positioned to scale toward higher levels of automation in the future.

ABI Research Automotive Research Director James Hodgson echoed the implications of this new reality for parking suppliers in a recent ABI Insight:

Parking Tier One suppliers must recognize that the writing is on the wall for standalone parking systems, with the use of single-purpose sensors, compute, and networking proving unsustainable in a market where cost efficiencies are paramount for OEMs. However, parking is about more than hardware, and Tier One suppliers experienced in parking assistance should look to position their parking software expertise in partnership with AV suppliers to retain their foothold in the parking space, as part of a broader strategy to provide manufacturing, integration, and validation support to these same AV suppliers.

James Hodgson, Research Director ABI Research

The Road Ahead for Automated Parking

Automated parking trends point to a broader shift in how vehicle autonomy is being developed and deployed. Unsupervised L4/L5 vehicle autonomy is the ultimate destination for the automotive industry. While mass commercialization is still several years away, automated parking deployments provide a clear pathway for OEMs to build AV roadmaps.

Automated parking serves as a relatively safe and low-stakes means of marketing AV features. Trust in parking autonomy helps bridge the gap to high-level automation by establishing early consumer confidence. OEMs must demonstrate how their systems handle park-to-park use cases to stimulate wider AV adoption. For many customers, end-to-end parking capabilities are the point where autonomous driving becomes tangible and easier to recognize value.

Along the journey to L4/L5 autonomy, the automotive industry has clearly signaled that it’s embracing architectural consolidation. What used to sit as a self-contained convenience feature is being pulled into the broader ADAS stack.

For automotive OEMs, the rationale is clear: when automated parking and core driving functionality run on the same underlying architecture, SDV/AV programs become easier to scale, update, and justify financially. A few themes will define how the market moves from here:

• Camera-sensor hybrid perception is becoming the standard. Cameras fit well into centralized ADAS systems and give vehicles the contextual awareness needed for parking autonomy. Ultrasonic sensors and short-range radar offer supplemental value, especially in poor visibility or tight spaces.
• Performance matters more than sensor count. OEMs will stand out by how well the parking system behaves, rather than by how technologically advanced it sounds on paper. Smooth maneuvers, predictable actions, fewer false activations, and clear Human-Machine Interface (HMI) visuals will have a bigger impact on driver trust.
• Infrastructure-assisted parking still faces scaling barriers. Generally, onboard compute and sensor fusion are now strong enough to handle the core driving task. Infrastructure (e.g., Vehicle-to-Everything (V2X)) can help in specific locations, but a wider rollout will require better alignment on cost, ownership, and long-term maintenance.

Automated valet parking marks an early but important phase in the evolution of vehicle autonomy. It reflects both the growing demand for autonomous features and the market's current limitations.

OEMs will not win on parking features alone, but on how effectively those features integrate into a unified vehicle autonomy stack. In that sense, technology providers must step forward as the orchestrators of simplicity by harmonizing parking and driving within a single, centralized compute platform.

Download the report: Autonomous Valet Parking: Consolidating Parking into Autonomous Driving

Frequently Asked Questions

How is automated parking evolving in the automotive industry?

Automated parking is shifting from standalone parking ECUs to integrated ADAS compute platforms. ABI Research forecasts that by 2035, 72% of automated parking systems shipped worldwide will share compute resources with ADAS, up from 11% in 2026. This reflects a broader move toward centralized vehicle architectures that reduce cost, simplify updates, and support higher levels of autonomy.

Which companies are leading the shift to integrated automated parking systems?

Valeo, Aptiv, AUMOVIO, Mobileye, and NVIDIA are among the key companies driving the shift to integrated automated parking systems.

• Valeo is advancing sensor fusion and AI-based perception for more centralized parking architectures
• Aptiv is consolidating parking and ADAS into shared domain controllers.
• AUMOVIO supports validation and software integration for parking within centralized vehicle platforms.
• Mobileye and NVIDIA enable parking functions to run on the same compute and perception stacks used for broader ADAS and autonomy features.

Together, these companies reflect the industry’s move away from standalone parking ECUs and toward shared, software-defined vehicle architectures.

What should automotive OEMs prepare for in automated parking?

Automotive OEMs should prepare for automated parking to become part of a shared ADAS and SDV architecture, not a separate system. That means prioritizing centralized compute, software reuse, unified OTA update cycles, and tighter integration between parking and driving functions. OEMs will also need to focus on system performance, driver trust, and seamless park-to-park experiences as automated parking becomes a stepping stone toward higher vehicle autonomy.