3D Obstacle Damage Mapping for Collision-Minimizing Vehicle Control
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Solution Overview
Problem
Conventional vehicle control devices struggle to accurately estimate the type and risk of obstacles using lateral width and moving speed, especially when obstacles are detected from the front or obliquely, leading to potential difficulties in reliably avoiding collisions and minimizing collision damage.
Innovation Solution
A vehicle control device that utilizes a three-dimensional object information generation unit to detect objects based on external environment information, generates split regions for collision damage assessment, and controls vehicle travel to minimize collision damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If obstacle type is estimated using lateral width and moving speed, then the estimation process is simple, but the estimation accuracy deteriorates when obstacles are detected from the front or obliquely
Solution Approach 1:
The patent transitions from two-dimensional estimation (lateral width only) to three-dimensional estimation by incorporating height information. The obstacle detection device calculates the height of the obstacle based on the detection image and uses this additional dimensional data to improve type estimation accuracy, especially for front and oblique detections where lateral width alone is insufficient.
2Object-affected harmful factors
If collision damage is minimized by deforming the minimum damage site, then obstacle damage is reduced, but the control system requires complex risk information storage and processing
Solution Approach 1:
The patent pre-calculates and stores risk information in a lookup table format before actual collision scenarios occur. The system pre-determines the relationship between obstacle types, detection angles, and optimal collision avoidance strategies, allowing the control unit to quickly retrieve and execute appropriate actions without complex real-time calculations during actual collisions.
3Measurement precision
If obstacle detection is performed using laser radar or camera, then detection capability is improved, but the ability to accurately estimate obstacle type deteriorates when detected from front or oblique directions
Solution Approach 1:
The patent changes the parameters used for obstacle type estimation from solely lateral width to a combination of lateral width, height, and detection angle. By incorporating height information calculated from the detection image and considering the detection angle, the system compensates for information loss that occurs during front or oblique detections, enabling more accurate obstacle type estimation.
Data Source
AI summary
A vehicle control device mounted on a vehicle includes one or more processors to detect an object around the vehicle based on external environment information and generate three-dimensional object information and information on a plurality of split regions, and set a damage degree to each of the plurality of split regions depending on an estimated magnitude of damage at an estimated time of collision of the vehicle. The one or more processors record information on a plurality of host vehicle split regions, and a host vehicle damage degree set to each of the plurality of host vehicle split regions depending on an estimated magnitude of damage at an estimated time of collision of the object and control travel of the vehicle to minimize a collision damage degree corresponding to the damage degree and a product of the damage degree and the host vehicle damage degree.