Autonomous Driving Collision Avoidance Route Selection
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Solution Overview
Problem
Conventional autonomous driving systems face challenges in preventing collisions with cut-in vehicles, particularly in dynamic urban and highway environments, as they struggle to generate effective avoidance routes and adjust vehicle speed in real-time to avoid obstacles, leading to potential accidents and difficulties in revising causes of accidents.
Innovation Solution
An autonomous driving system that includes a counterpart vehicle detector and a host vehicle detector, which work with a vehicle controller to generate multiple candidate avoidance routes, designate reach locations based on speed intervals, and adjust the vehicle's speed to avoid collisions by selecting the optimal route and controlling acceleration or deceleration to prevent collisions with cut-in vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple candidate avoidance routes are generated and selected in real-time, then collision avoidance capability is improved, but computational complexity and response time increase
Solution Approach 1:
The patent segments the avoidance route generation into multiple candidate routes (first, second, third avoidance routes) with different characteristics. Each route is evaluated independently based on specific criteria such as lane changes, curvature, and safety margins, allowing the system to select the optimal route without overwhelming computational burden.
Solution Approach 2:
The system dynamically selects among multiple pre-generated candidate avoidance routes based on real-time conditions. The vehicle controller evaluates the surrounding environment and chooses the most appropriate route from the candidates, enabling adaptive response to changing conditions while maintaining computational efficiency.
2Reliability
If vehicle speed is adjusted frequently to avoid cut-in vehicles, then collision prevention is improved, but driving stability and comfort deteriorate
Solution Approach 1:
The system performs preliminary evaluation of multiple avoidance routes before executing speed adjustments. By pre-calculating safe avoidance paths and identifying potential collision risks in advance, the system can make controlled speed adjustments only when necessary, rather than frequently adjusting speed in response to every detected cut-in vehicle.
Solution Approach 2:
The patent changes speed parameters selectively based on the selected avoidance route and detected cut-in scenarios. Speed adjustments are applied only to the extent necessary for collision avoidance, maintaining other driving parameters stable. The system adjusts speed profiles along different candidate routes and selects the adjustment that minimizes disruption to overall driving stability.
Data Source
AI summary
An autonomous driving system for preventing collision with a cut-in vehicle may include a counterpart vehicle detector detecting driving information of a surrounding vehicle to deliver the driving information of the surrounding vehicle to a vehicle controller, a host vehicle detector detecting driving information of a host vehicle to deliver the driving information of the host vehicle to the vehicle controller, and the vehicle controller generating avoidance routes for avoiding collision with the surrounding vehicle entering a front of the host vehicle, designating a reach location according to a speed at a specific interval on the avoidance routes, and selecting an avoidance route for avoiding the collision among the plurality of avoidance routes, and then controlling a speed of the host vehicle to reach the reach location for avoiding the collision with the surrounding vehicle on the selected avoidance route, when there is possibility of collision.