LiDAR System for Seeing Through Shiny Objects

Toyota's patent on a LiDAR system that can ignore blinding reflections from shiny surfaces to better see what's around a vehicle.

What it covers

This patent describes a system for self-driving cars that uses LiDAR, a type of laser radar, to map the surroundings. Sometimes, shiny objects like a wet road or a polished car can send back such strong reflections that they blind the LiDAR sensor, making it impossible to see objects behind or near the shiny surface. This invention tackles that by first scanning with a standard laser (initial intensity) to get a general picture (first point cloud). If it detects a super-bright, reflective object, it then scans again with a different laser setting (scanning intensity) or direction. This second scan is designed to avoid or minimize the blinding reflection, allowing the system to capture data about objects that would otherwise be hidden. Finally, it combines the data from both scans into a 'composite point cloud' that gives a clearer, more complete view of the environment, even with those tricky shiny surfaces present.

What it doesn't cover

• —LiDAR systems that cannot detect or adapt to highly reflective objects.
• —Methods that only use a single scan intensity and do not adjust for reflections.
• —Systems that fail to combine data from multiple scans into a single, improved view.
• —LiDAR systems that are not integrated into a vehicle or used for environmental sensing.

The clever bit

The core innovation is dynamically re-scanning with adjusted laser parameters specifically when a blinding reflection is detected, then intelligently merging the data to overcome the interference, rather than just discarding the corrupted data.

Why it matters

Reliable environmental sensing is crucial for autonomous vehicles. LiDAR is a key technology for this, but its performance can be degraded by common road conditions like rain or glare. This patent addresses a specific, significant challenge in making LiDAR robust enough for real-world driving, especially in varying weather and lighting.

Real-world examples

• 1.Toyota vehicles equipped with advanced driver-assistance systems
• 2.Future autonomous driving systems
• 3.LiDAR units in robotic navigation systems