Infrastructure for Autonomous Mobility

Infrastructure for Autonomous Driving

Current AV systems rely heavily on onboard perception systems that degrade in extreme weather and poor visibility.

"Smart Roads: Seeing Beyond the Dashboard."

Cameras, LiDAR, and HD maps degrade in snow, fog, and construction — precisely when safety matters most. Vehicle-only perception cannot solve this alone.

Vehicle-only perception has hit its ceiling. Intelligent Path moves intelligence into the infrastructure itself — so autonomous systems stay reliable when conditions are worst.

Smart Flow Solutions

System Overview

Automated Guidance

Touchless Efficiency

Our Origin

The Genesis of Infrastructure-Guided Autonomy

In 2012, Peter Yeung drove from Ottawa, Canada’s capital, to Florida, United States through a snow-blind storm. As lane markings disappeared and visibility collapsed, the limits of both human and vehicle-based perception became undeniable.

The insight was simple: autonomous vehicles cannot operate as isolated systems. They need a partner in the environment.

A Vision Takes Shape

This led to Infrastructure-Guided Autonomy—a shift from vehicle-only perception to roads that actively guide, inform, and coordinate movement, especially when conditions degrade.

Key Milestones

2012

Snowstorm drive reveals the perception gap

2015

Company founded after years of development

Mission

Connecting vehicles with intelligent infrastructure

Why Infrastructure Matters

Redundancy: A second layer of intelligence beyond the vehicle.
Extended Range: Visibility beyond onboard sensor limits.
Efficiency: Reduced computational load via distributed systems.

"The road should be as smart as the car driving on it." — Peter Yeung

Expanding Our IP Portfolio Internationally

Intelligent Path is actively expanding its intellectual property portfolio across United States, Europe, China, India, Singapore and other global markets.

Granted

US11828610B2

An autonomous vehicle system navigates using road markers that return discovery signals with positioning data. Real-time steering is managed via an onboard controller or 3D map database.

US11043124B2

This invention guides autonomous vehicles using infrastructure-embedded sensors to provide real-time road, speed, and parking data. The networked system ensures reliable navigation regardless of weather or lighting conditions.

US11237011B2

Navigating via road markers, this autonomous system uses discovery signals to receive positioning and directional data. Real-time guidance is then executed through an onboard controller or 3D map database.

International

Europe (EP4348381A1)

As vehicles transition to full autonomy, they require more than basic lane-keeping; they need real-time traffic updates, infrastructure data, and charging station navigation. This invention provides enhanced navigation and control for semi-autonomous and autonomous vehicles without requiring costly infrastructure upgrades.

Canada (CA2941455A1)

Active devices [1] are embedded in road infrastructure, such as signs, lights, and lane markers. These devices provide predefined data to replace or supplement traditional road details.

China (CN117940866A)

Moving beyond basic driver assistance, this system provides semi-autonomous and autonomous vehicles (SAAVs) with essential real-time traffic, infrastructure, and navigation data. It delivers these advanced control functions efficiently, eliminating the need for expensive infrastructure overhauls.