LiDAR Vehicle Control for Tunnel Obstacle Misidentification
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Solution Overview
Problem
Existing vehicle control systems using LiDAR incorrectly identify tunnel structures or large vehicles as stationary obstacles, leading to erroneous path changes during autonomous driving.
Innovation Solution
A vehicle control apparatus that utilizes LiDAR to divide a specified space into lower and upper spaces based on a vertical axis, generating separate boxes for detected objects and determining their validity by checking overlap, size, and connectivity, thereby distinguishing between actual obstacles and tunnel features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If LiDAR is used to identify external objects in autonomous driving mode, then object detection capability is improved, but false identification of tunnel structures or large vehicles as stationary obstacles occurs
Solution Approach 1:
The patent divides the detection space into multiple regions (first region above the vehicle, second region below the vehicle) and applies different processing rules to each region. Objects in the first region are treated differently from objects in the second region, allowing the system to distinguish between tunnel structures and actual obstacles while maintaining detection sensitivity.
Solution Approach 2:
The patent applies different identification criteria and processing methods to different spatial zones. The first region (above vehicle) and second region (below vehicle) have different thresholds and validation rules, enabling localized optimization of detection accuracy and reduction of false positives in specific areas.
2Reliability
If the vehicle control system responds to detected objects by changing driving path, then obstacle avoidance capability is improved, but unnecessary path changes occur when tunnel structures are misidentified
Solution Approach 1:
By segmenting the detection space into first and second regions, the system can apply different response strategies. Objects in the first region (above vehicle) that are misidentified as obstacles can be filtered out without triggering unnecessary path changes, while maintaining responsive behavior for genuine obstacles in the second region.
Solution Approach 2:
The patent introduces an intermediate processing stage between object detection and path planning. The processor validates detected objects against region-specific criteria before triggering avoidance maneuvers, acting as a mediator that filters false positives while preserving genuine obstacle responses.
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
Prevents misidentification of tunnel structures and large vehicles as stationary obstacles, ensuring accurate navigation and path planning in autonomous driving scenarios.
Implementation Method 1
identification of an external object using light detection and ranging (LiDAR)
Data Source
AI summary
A vehicle control apparatus and a method thereof are provided. The vehicle control apparatus includes a sensor (e.g., light detection and ranging (LiDAR)), a communication circuit, and a processor. The processor receives a signal indicating that a vehicle has entered a specified space that is identified via a sensor, divides the specified space into a lower space and an upper space based on a vertical axis, generates a lower box corresponding to a first external object in the lower space, generates an upper box corresponding to a second external object in the upper space, determines whether the upper box at least partially overlaps with the lower box, and outputs a signal indicating that the second external object and the first external object are a same object.