Dynamic Collision Detection Zones for Autonomous Vehicles
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Solution Overview
Problem
Conventional methods for collision avoidance in autonomous vehicles fail to accurately determine the possibility of collisions, especially in sudden events, due to their reliance on fixed detection ranges that do not account for the vehicle's state or the speed of adjacent objects, leading to increased computational load and delayed response times.
Innovation Solution
The method involves setting dynamic collision detection areas based on the vehicle's state and the collision detection target, with attributes of these areas changing in response to the vehicle's and target's conditions, allowing for more accurate collision assessment and rapid response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a wide detection range is used to prevent sudden collision accidents, then collision prevention capability is improved, but computational load increases and response time decreases
Solution Approach 1:
The patent applies local quality by differentiating the detection range into multiple zones with different attributes: a first collision detection area with a first attribute (closer to vehicle, smaller range) and a second collision detection area with a second attribute (farther from vehicle, larger range). This allows the system to focus computational resources on the most critical near-field detection while maintaining extended monitoring in the far field, thereby preventing sudden collisions without overwhelming computational load.
2Device complexity
If a fixed predetermined detection range is used, then device complexity is reduced, but collision detection accuracy deteriorates in sudden events
Solution Approach 1:
The patent implements dynamics by making the collision detection areas adaptive rather than fixed. The first and second collision detection areas are dynamically adjusted based on vehicle state (speed, acceleration) and the state of detected objects. This allows the detection system to automatically expand or contract the monitoring zones according to real-time conditions, improving detection accuracy during sudden events while maintaining system simplicity through automated adjustment.
3Reliability
If the detection range is expanded to cover high-speed scenarios, then collision detection capability is improved, but processing time increases
Solution Approach 1:
The patent applies segmentation by dividing the collision detection space into distinct first and second collision detection areas with different attributes. The first area handles immediate, high-priority detection with faster processing, while the second area provides extended monitoring with relaxed timing requirements. This segmentation allows the system to process critical near-field data rapidly while simultaneously monitoring the far field, improving high-speed collision detection capability without uniformly increasing processing time across all ranges.
Data Source
AI summary
There is provided a method for avoiding the collision of an autonomous vehicle, the method including: setting collision detection areas including first and second collision detection areas based on a state of a first vehicle and a collision detection target at a location adjacent to the first vehicle; and determining the possibility of a collision between the first vehicle and the collision detection target using the collision detection areas of the first vehicle and the collision detection target; wherein setting the collision detection areas includes maintaining an attribute of the first collision detection area and changing an attribute of the second collision detection area in response to a change in the state of the first vehicle and the collision detection target.