Park the
last mile.
OcuParking turns every stall — indoor garage, surface lot, curbside zone — into reservable, navigable, autonomous-ready inventory. Stall-level intelligence delivered through Google, Apple, and Tesla Maps, third-party apps, and AVP-capable vehicles.
From facility entrance to stall — end-to-end intelligence.
Built on the OcuBase physical-AI platform and OcuAI's patent-pending architecture. OcuBase cameras and patrol units feed real-time stall-level data to map providers, mobile apps, and autonomous vehicles — closing the last mile of every drive.
The last mile of every drive is still broken.
A robotaxi can navigate the freeway, exit the ramp, and arrive downtown — but it cannot park itself. Human drivers don't fare much better: roughly a third of urban traffic is simply hunting for an open stall.
- 30% of downtown traffic is vehicles circling for parking — not commuting.
- 17 minutes wasted per trip on average, multiplying congestion and emissions.
- No public protocol exists for "go to stall B-47, park there, log out."
- Autonomous vehicles stop short — the freeway is solved; the stall is not.
— THE SOLUTION · OCUBASE PLATFORM
Four capabilities. One stall-resolution platform.
Every OcuParking deployment ships with the full stack — sense, map, assign, and hand off — across indoor, surface, and curbside environments, powered by the OcuBase Platform.
01
Camera-Native Sensing
OcuBase fisheye, bullet, and patrol cameras detect occupancy, read plates, and verify stall assignment in real time.
02
HD Last-Mile Maps
Stall geometry, paths, height limits, and EV / ADA / AVP zones are mapped across indoor garages, surface lots, and curbside environments.
03
Map-App Reservation
Drivers reserve a specific stall through Google, Apple, Tesla Maps, or platforms like SpotHero, ParkWhiz, and ParkMobile.
04
AVP & Robotaxi Handoff
Stall ID and HD route are streamed directly to autonomous vehicles, and a park-and-secured notification closes the loop.
— HOW IT WORKS
One backend. Four moves. Last-mile, solved.
OcuParking’s backend orchestrates data between OcuBase cameras, mapping platforms, mobile
apps, and autonomous vehicles.
0 1 / S E N S E
Camera-Native Sensing
OcuBase fisheye, bullet, and patrol cameras detect occupancy, read plates, and verify stall assignment in real time.
CAMERAS · CV · LPR
0 2 / M A P
HD Last-Mile Maps
Stall geometry, paths, height limits, and EV / ADA / AVP zones are mapped across indoor garages, surface lots, and curbside environments.
HD LAYERS · ROUTABLE
0 3 / A S S I G N
Map-App Reservation
Drivers reserve a specific stall through Google, Apple, Tesla Maps, or platforms like SpotHero, ParkWhiz, and ParkMobile.
SERVER-TO-SERVER API
0 4 / H A N D O F F
AVP & Robotaxi Handoff
Stall ID and HD route are streamed directly to autonomous vehicles, and a park-and-secured notification closes the loop.
DRIVER · ROBOT · AVP
← I N P U T S
OcuBase Cameras
CV
Fisheye / Bullet
CV
Robotic Patrol
LIDAR
Operator Inventory
CMS
Stall-level intelligence, orchestrated.
Reservation engine · dynamic pricing · HD maps · payment reconciliation · enforcement.
● OCUBASE BACKEND
Reservation engine — Holds a specific stall on request — by driver, app, or vehicle.
Dynamic pricing — Adjusts rates by time, demand, and stall class in real time.
HD maps — Stall-level routable geometry for indoor, surface, and curbside zones.
Payment reconciliation — Settles transactions back to the map or app of origin.
Enforce & monitor — LPR-verified compliance with continuous cloud video review
O U T P U T S →
Google · Apple · Tesla
MAPS
SpotHero · ParkWhiz
APPS
OEM Nav Systems
IN-CAR
AVP & Robotaxi
AUTO
The final patch in the full self-driving cycle.
A robotaxi can navigate the freeway, exit the ramp, and arrive downtown — but it cannot park itself. There is no public protocol for "go to stall B-47, park there, log out." OcuParking is that protocol.
- Server-to-server stall assignment via standardized API
- HD map data streamed directly to the vehicle
- LPR verifies vehicle parked in correct stall
- Cloud video monitoring while parked
- Automatic billing reconciled to map or app of origin
— WHERE IT DEPLOYS
Four environments. One platform.
OcuParking ships pre-configured for the four contexts that cover virtually all commercial parking inventory.
Indoor Garage
Multi-level, GNSS-denied. Ramps, height limits, EV stalls, charging zones. Routable down to the painted line.
Surface Lot
Open-air, retail and venue. Grid-pattern stall geometry, ADA, EV, valet zones. Updated continuously.
Curbside
Metered, time-restricted. Live curb regulations, time-of-day pricing, no-parking zones, bike lanes excluded.
AVP-Compatible
Designed for autonomy. Robot lanes, AVP-reserved sections, drop-off / pickup loops, vehicle queuing.
Three reasons we're the last mile.
Patent-pending architecture, map-platform integration, and AVP-readiness — built together from day one, not bolted on.
Patent-Pending Architecture
USPTO Provisional filed October 2025 covers the end-to-end protocol — from stall sensing to map-app reservation to AVP handoff. No competitor owns the full stack.
Map-Platform Native
Stall-level inventory delivered through Google Maps, Apple Maps, and Tesla Navigation — where 80% of drivers already start every trip. No new app to download.
AVP-Ready From Day One
Robotaxi and AVP handoff is the protocol — not an afterthought. Server-to-server stall assignment and HD route streaming are core capabilities, not roadmap items.
The final patch in the full self-driving cycle.
A robotaxi can navigate the freeway, exit the ramp, and arrive downtown — but it cannot park itself. There is no public protocol for "go to stall B-47, park there, log out." OcuParking is that protocol.
- Server-to-server stall assignment via standardized API
- HD map data streamed directly to the vehicle
- LPR verifies vehicle parked in correct stall
- Cloud video monitoring while parked
- Automatic billing reconciled to map or app of origin