Autonomous Truck Pass Control for Unintentional Lateral Movement

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Solution Overview

Problem

Autonomous trucks face challenges in navigating safely during pass maneuvers due to unintentional lateral movements caused by factors like cross winds and size differences with other vehicles.

Innovation Solution

The system uses sensor data to estimate unintentional lateral movements during pass maneuvers by considering parameters such as vehicle speed, trailer size, wind conditions, and behavior of nearby vehicles, allowing the autonomous truck to adjust its behavior and control strategy accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the autonomous truck maintains a steady course without adjustment, then the control system is simple and stable, but the truck is vulnerable to unintentional lateral movements during pass maneuvers

Engineering Contradiction:
Improvesafety during pass maneuversVSAvoidcontrol system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary estimation of unintentional lateral movement before the pass maneuver occurs by analyzing sensor data, vehicle parameters, and environmental conditions. This allows the control system to proactively adjust the truck's course in advance, preventing lateral deviations rather than reacting to them after they occur.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The control system dynamically adjusts the truck's steering and position based on real-time estimation of lateral movement risks. The system modifies control parameters adaptively during different phases of the pass maneuver, transitioning from steady-state control to active compensation and back to steady-state control.

Inventive Principle:
Principle #15Dynamics

2Reliability

If the system adjusts vehicle behavior to compensate for lateral movements, then collision risk is reduced, but the control actions increase and may affect normal driving stability

Engineering Contradiction:
Improvecollision avoidanceVSAvoiddriving stability
Core Design Contradiction:
ReliabilityVSStability of the object's composition

Solution Approach 1:

The system applies preliminary anti-action by estimating the direction and magnitude of potential lateral movements and applying counteracting steering adjustments before the actual lateral deviation occurs. This prevents the truck from drifting toward the passing vehicle while maintaining smooth, controlled corrections rather than reactive, jerky movements.

Inventive Principle:
Principle #9Preliminary anti-action

Solution Approach 2:

The system changes control parameters such as steering angle and lateral position based on the estimated lateral movement risk. By dynamically adjusting these parameters in response to environmental conditions, vehicle speed, and pass maneuver characteristics, the system optimizes the balance between collision avoidance and driving stability.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If the autonomous truck slows down to avoid lateral movement issues, then safety during pass maneuvers is improved, but the productivity and travel efficiency decrease

Engineering Contradiction:
Improvesafety during pass maneuversVSAvoidtravel efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

Instead of uniformly reducing speed, the system selectively adjusts speed only when the estimation model predicts high risk of lateral movement. By changing the speed parameter conditionally based on environmental conditions, vehicle configuration, and pass maneuver characteristics, the system maintains high productivity during low-risk scenarios while ensuring safety during high-risk scenarios.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12344257B2Methods and systems for adjusting vehicle behavior based on estimated unintentional lateral movements
Publication Date: 2025.07.01 WAYMO LLC
  • US12344257B2 patent drawing
  • US12344257B2 patent drawing
  • US12344257B2 patent drawing

AI summary

Example embodiments relate to techniques for adjusting vehicle behavior based on estimated unintentional lateral movements. A computing system may receive sensor data representing a truck's environment as the truck pulls a trailer and navigates above a threshold speed on a freeway or another type of road. The computing system may use the sensor data to detect another truck navigating in an adjacent lane and at a speed that indicates an increased likelihood of a pass maneuver occurring between the trucks. Responsive to determining the increased likelihood of the pass maneuver occurring between the vehicles, the computing system may estimate an unintentional lateral movement for the pass maneuver based on parameters that can include the truck's speed, the size of the other truck's trailer, and a wind condition of the environment. The computing system can subsequently control the truck based on estimated unintentional lateral movement for the pass maneuver.