Interlaced LiDAR Scan Patterns for Moving-Object Detection

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing LIDAR systems face challenges in accurately determining the position and orientation of light deflectors, particularly under varying environmental conditions, which affects their ability to reliably sense and interpret surroundings for autonomous vehicles.

Innovation Solution

A LIDAR system that employs a light source and deflector configured to scan with interlaced scan patterns, adjusting laser pulse frequency or tilt increments to enhance scan resolution and detect moving objects, using processors to manage these adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional scanning patterns are used, then the system structure is simple, but measurement precision and reliability deteriorate under varying environmental conditions

Engineering Contradiction:
Improvescan resolutionVSAvoidscan pattern complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The scanning process is divided into multiple interlaced scan patterns (first scan pattern with first scan lines, second scan pattern with second scan lines). Each scan pattern covers different portions of the field of view, and their combination provides comprehensive coverage with improved measurement precision without requiring a single complex scanning mechanism

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts scan parameters including laser pulse frequency and tilt increments based on detected objects and environmental conditions. The processor causes adjustment of these parameters to selectively adjust scan resolution, enabling the system to adapt to varying conditions while maintaining measurement precision

Inventive Principle:
Principle #15Dynamics

2Measurement precision

If scan resolution is increased, then measurement precision improves, but scanning time increases

Engineering Contradiction:
Improvescan resolutionVSAvoidscanning time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system employs periodic scanning with alternating scan patterns. The first scan pattern and second scan pattern are executed in sequence, with each pattern optimized for specific regions. This periodic alternation allows comprehensive high-resolution coverage while maintaining efficient scanning throughput by distributing the high-resolution measurement load across multiple patterns

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The interlaced scan patterns apply partial action by focusing high-resolution scanning on specific regions of interest within the field of view. Not all regions require the same level of detail, so the system applies enhanced scan resolution selectively to areas where objects are detected or where higher precision is needed, rather than uniformly across the entire field of view

Inventive Principle:
Principle #16Partial or excessive action

3Measurement precision

If laser pulse frequency is adjusted to improve detection, then measurement precision improves, but energy consumption increases

Engineering Contradiction:
Improvedetection accuracyVSAvoidlaser energy consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The processor causes adjustment of laser pulse frequency dynamically based on scanning requirements and detected conditions. The system adjusts the frequency to selectively adjust scan resolution, using higher frequencies only when and where improved detection accuracy is needed, rather than maintaining high frequency continuously across all scanning operations

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes operational parameters including laser pulse frequency and tilt increments to optimize the balance between detection accuracy and energy consumption. By adjusting these parameters selectively based on environmental conditions and object detection needs, the system achieves improved measurement precision while minimizing unnecessary energy expenditure

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Improves the precision and reliability of LIDAR systems in detecting objects and determining their movement, even in challenging conditions, by optimizing scan patterns and resolutions.

Implementation Method 1

measuring distances to objects by illuminating objects with light and measuring the reflected pulses with a sensor

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 2

A light deflector for projecting light emitted by a light source into the environment of the electro-optical system. The light deflector may be controlled to pivot around at least one axis for projecting the light into a desired location in the field of view

Methodology Applied
Scientific EffectLight deflection: Reflection

Data Source

PatentUS12429564B2Systems and methods for interlaced scanning in lidar systems
Publication Date: 2025.09.30 INNOVIZ TECH LTD
  • US12429564B2 patent drawing
  • US12429564B2 patent drawing
  • US12429564B2 patent drawing

AI summary

A LIDAR system includes at least one light source; at least one deflector configured to scan light emitted by the at least one light source over a field of view of the LIDAR system; and at least one processor configured to cause the at least one deflector to scan the field of view of the LIDAR system with a first scan pattern including a first series of scan lines and subsequently with a second scan pattern including a second series of scan lines that are interlaced with the first series of scan lines to provide a single frame scan pattern, and analyze reflection signals associated with the single frame scan pattern to determine whether at least one target object present in the field of view of the LIDAR system is moving.