Dynamic Stereo Camera Baseline Adjustment for Vehicle Obstacle Detection
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Solution Overview
Problem
Existing vehicle systems face significant errors in detecting forward moving objects and their positions due to fixed baseline configurations in stereo camera systems, leading to inaccuracies in obstacle detection at varying vehicle speeds and environments.
Innovation Solution
A system and method that dynamically adjust the baseline between multiple image acquisition units installed in a vehicle based on vehicle speed, using a control unit to select appropriate image acquisition units with varying baselines (short, medium, and long) to improve obstacle detection accuracy, and correct obstacle positions on main image data for precise display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed baseline configuration is used in stereo camera systems, then the system structure is simple, but the obstacle detection accuracy deteriorates at varying vehicle speeds and environments
Solution Approach 1:
The patent applies the dynamics principle by making the baseline configuration variable rather than fixed. The system dynamically selects between multiple baseline lengths (first, second, and third baselines) based on vehicle speed conditions. At low speeds, a shorter baseline is used for near-object detection, while at high speeds, a longer baseline is selected for distant object detection. This dynamic adaptation resolves the contradiction by enabling accurate obstacle detection across varying speeds without requiring a complex reconfigurable physical structure.
Solution Approach 2:
The patent implements parameter changes by varying the baseline length parameter according to vehicle speed. The control unit changes the effective baseline parameter by selecting different image acquisition unit combinations, thereby optimizing measurement precision for different operating conditions. This parameter adaptation allows the system to maintain high detection accuracy without increasing structural complexity.
2Measurement precision
If multiple image acquisition units with different baselines are installed, then obstacle detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent applies universality by designing image acquisition units that serve multiple functions. The same set of image acquisition units is used for different baseline configurations depending on vehicle speed. Rather than having dedicated units for each baseline length, the system universally uses the available units in different combinations, thereby achieving multiple baseline functions without proportionally increasing device complexity.
Solution Approach 2:
The patent segments the image acquisition system into multiple units arranged at different positions, allowing selective combination to form different baselines. By dividing the overall detection task across multiple units and selectively activating appropriate combinations based on speed conditions, the system achieves high position calculation accuracy while managing device complexity through modular segmentation.
Data Source
AI summary
Technology for system and method of providing surrounding information of a vehicle which accurately calculates positions of obstacles around the vehicle is provided. The system includes a plurality of image acquisition units installed in the vehicle at a preset interval, an image acquisition unit selector which selects at least two image acquisition units of the plurality of image acquisition units and receives image data from the selected acquisition unit selector, and a control unit which recognizes an obstacle from the image data received from the image acquisition units, calculates a position of the obstacle, and controls the image acquisition unit selector to select the at least two image acquisition units of the plurality of image acquisition units according to information for vehicle speed of the vehicle.