Forward Collision Hazard Region Detection for Intelligent Driving
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Solution Overview
Problem
Current computer vision technologies for intelligent driving systems face challenges in accurately detecting and responding to potential collision hazards, leading to inefficient and inaccurate collision control measures.
Innovation Solution
A collision control method and apparatus that detects target objects using visual sensors, determines a forward collision hazard region, and executes collision control through collision warning and/or driving control based on the relative relationship between the target object and the hazard region, utilizing modules for target detection, hazard determination, and control execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If computer vision technology is used to detect target objects for intelligent driving, then the system can identify pedestrians and other vehicles, but the collision control accuracy and responsiveness are insufficient
Solution Approach 1:
The system divides the detection and control process into distinct modules: target object detection module, forward collision hazard region determination module, and collision control execution module. Each module handles a specific aspect of collision control, improving overall accuracy and reliability through specialized processing at each stage.
Solution Approach 2:
The system performs preliminary detection of target objects and determination of forward collision hazard regions before executing collision control measures. This advance preparation allows the system to respond more accurately and reliably when collision risks are identified, rather than reacting after a collision occurs.
2Productivity
If collision control measures are executed based on detected target objects, then collision prevention can be achieved, but the control measures may be inefficient or inaccurate without hazard region classification
Solution Approach 1:
The system applies different levels of collision control based on the specific hazard region and target object characteristics. Instead of using a uniform control approach, the system tailors the control measures to the local conditions identified in the forward collision hazard region, improving both efficiency and accuracy.
Solution Approach 2:
The system adjusts collision control parameters based on the detected target object and determined hazard region. By changing control parameters dynamically according to the specific situation, the system achieves more efficient and accurate collision prevention tailored to each scenario.
Data Source
AI summary
The present disclosure relates to a collision control method and apparatus, an electronic device, and a storage medium. The method includes: detecting a target object in an image photographed by a traveling object; determining a forward collision hazard region of the traveling object; and executing collision control on the traveling object based on a relative relationship between the target object and the forward collision hazard region, where the collision control includes collision warning and/or driving control.