Vehicle Collision Avoidance via Variable Detection Area
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Solution Overview
Problem
Current vehicle collision avoidance systems struggle to effectively determine the type of object in front of a vehicle, leading to inefficient detection areas and potential collisions, especially in high-density traffic areas.
Innovation Solution
A vehicle system equipped with an image capturer and sensor to detect objects, a controller to determine a variable detection target area based on the object's type, and a speed regulator to adjust the vehicle's speed to avoid collisions by calculating the time to collision (TTC) and determining the appropriate deceleration amount.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed detection area is used for all objects, then the system structure is simple, but the collision avoidance effectiveness deteriorates in high-density traffic areas
Solution Approach 1:
The detection area is made dynamic and variable based on object type. The controller adjusts the detection area parameters (such as detection distance and detection angle) according to whether the detected object is a pedestrian, bicycle, or vehicle, enabling the system to adapt to different traffic scenarios and improve collision avoidance effectiveness.
Solution Approach 2:
The system changes detection parameters based on object classification. When a pedestrian is detected, the system expands the detection area with larger detection distance and angle compared to when a vehicle is detected, optimizing the detection coverage for different object types without requiring a completely different system structure.
2Measurement precision
If the detection area is expanded to cover all possible objects, then detection coverage is improved, but the false detection rate increases
Solution Approach 1:
The system applies different detection area characteristics to different object types. Instead of using a uniform detection area for all objects, the controller configures localized detection parameters (detection distance, detection angle, and area size) specific to each object type, thereby improving detection accuracy while reducing false detections from irrelevant areas.
Solution Approach 2:
The detection area is segmented into different zones based on object type. The system divides the overall detection space into type-specific detection areas, allowing precise detection for each object category while excluding areas that would contribute to false detections for that particular object type.
3Reliability
If the system processes all detected objects equally, then the processing logic is simple, but the collision risk assessment becomes inaccurate
Solution Approach 1:
The controller adjusts collision risk assessment parameters based on object type. Different time-to-collision (TTC) thresholds and risk weights are applied depending on whether the object is a pedestrian, bicycle, or vehicle, enabling more accurate collision risk assessment without requiring completely separate processing systems for each object type.
Data Source
AI summary
A vehicle and a method for controlling a vehicle detects an object for avoiding a collision between a vehicle and the object, based on a type of the object detected by the vehicle, and determining a risk of collision with the object. The vehicle includes an image capturer configured to detect an object by capturing the object around a vehicle, a sensor configured to acquire at least one of position information and speed information of the object, a controller configured to variably determine a detection target area based on the type of the detected object, configured to calculate a time to collision (TTC) between the vehicle and the object based on the at least one of position information and speed information of the object placed in the determined detection target area, and configured to transmit a signal to control a driving speed of the vehicle based on the calculated TTC, and a speed regulator configured to regulate the driving speed of the vehicle in response to the transmitted control signal.