Vehicle Collision Prediction Using Stopped Vehicle Detection
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Solution Overview
Problem
Existing vehicle collision avoidance systems struggle to accurately predict and prevent collisions with target vehicles that are obscured by stopped vehicles at intersections, leading to increased risk of accidents in dense traffic areas.
Innovation Solution
A vehicle system equipped with a capturer and detection sensor to identify stopped vehicles and determine the position and speed of target vehicles, using a controller to assess the likelihood of collision by comparing actual and expected positions, and adjust driving controls accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle uses standard detection sensors to identify target vehicles, then the system can detect visible vehicles, but it cannot detect target vehicles obscured by stopped vehicles at intersections
Solution Approach 1:
The system performs preliminary detection of stopped vehicles before the target vehicle becomes visible. By identifying the presence and position of stopped vehicles in advance, the system prepares for potential obscured target vehicles and initiates alternative detection methods (ultrasonic sensors, V2V communication) before the obstruction is encountered.
Solution Approach 2:
The system introduces intermediary detection methods including ultrasonic sensors mounted on the vehicle and V2V communication protocols as mediators to detect target vehicles that are obscured by stopped vehicles. These intermediaries enable indirect detection when direct visual detection fails.
2Difficulty of detecting and measuring
If the vehicle moves forward to improve detection of target vehicles, then the vehicle can potentially see obscured vehicles, but the time available for collision avoidance decreases
Solution Approach 1:
The system calculates the expected position of target vehicles in advance based on the movement trajectories of both the host vehicle and potential target vehicles. By predicting where obscured vehicles will be when they become visible, the system eliminates the need to wait for direct detection, thereby preserving collision avoidance time.
Solution Approach 2:
The system continuously monitors the actual position of target vehicles and compares it with the expected position. This feedback mechanism allows the system to update collision risk assessments in real-time and adjust control signals accordingly, optimizing the balance between detection accuracy and response time.
3Difficulty of detecting and measuring
If the vehicle waits to detect target vehicles before moving, then the vehicle can identify obscured vehicles, but the response time for collision avoidance is delayed
Solution Approach 1:
The system performs preliminary detection of stopped vehicles and calculates expected target vehicle positions before the host vehicle moves. This advance preparation enables the system to maintain awareness of obscured target vehicles throughout the movement process without requiring pausing or waiting.
Solution Approach 2:
The system maintains continuous detection and monitoring of target vehicles throughout the host vehicle's movement. Rather than stopping to detect, the system continuously updates the expected position of target vehicles and compares it with actual position data, ensuring uninterrupted collision avoidance capability.
4Reliability
If the vehicle uses multiple detection methods to improve accuracy, then the system can detect obscured target vehicles, but the system complexity increases
Solution Approach 1:
The system introduces intermediary detection components such as ultrasonic sensors and V2V communication modules that can be integrated into the existing vehicle architecture. These intermediaries provide additional detection capabilities without requiring complete system redesign, thereby limiting the increase in overall complexity.
Solution Approach 2:
The controller is designed to perform multiple functions: it manages standard detection sensors, processes data from ultrasonic sensors, handles V2V communication, and calculates expected positions of target vehicles. This multi-functional approach consolidates complexity into a single control unit rather than requiring separate dedicated systems for each function.
Data Source
AI summary
A vehicle includes: a capturer configured to detect at least one stopped vehicle stopped in a first lane crossing at a right side of a second lane in which the vehicle is located; a detection sensor configured to detect the target vehicle located in a third lane next to the at least one stopped vehicle to obtain position information and speed information of the target vehicle; and a controller configured to determine a first position of the vehicle for sensing the target vehicle between stopped vehicles, determine an expected position to move the target vehicle for a time it takes for the vehicle to move from the first position to a second position, determine a reliability of a possibility of collision between the vehicle and the target vehicle by comparing an actual position and the expected position of the target vehicle.