Autonomous Vehicle Lane Change Prediction
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Solution Overview
Problem
Existing lane changing systems for autonomous vehicles are inadequate in handling situations where lane changes are necessary due to predicted congestion, especially at exit or entrance sections, leading to potential route deviations.
Innovation Solution
An apparatus and method for an autonomous vehicle to predict congested situations in the expected driving lane, search for suitable spaces to change lanes, and determine the optimal space based on vehicle movement patterns using driving information, including speed and image analysis, to enable stable lane changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle changes lanes only in response to current congestion rather than predicting future congestion, then the lane changing operation is simple, but the vehicle cannot handle situations where lane changes are necessary in advance (e.g., at exit or entrance sections)
Solution Approach 1:
The system performs preliminary lane changes by predicting future congestion in expected driving lanes and executing lane changes in advance before the congestion becomes severe. This allows the vehicle to proactively avoid congested areas rather than reactively responding to current conditions, ensuring reliable route completion even at critical sections like exits or entrances.
2Stability of the object's composition
If the vehicle searches for multiple enterable spaces and selects the optimal one based on characteristics, then the lane change stability is improved, but the processing time and computational load increase
Solution Approach 1:
The system searches for multiple enterable spaces (at least two spaces) in the expected driving lane and evaluates their characteristics, but selects the optimal space based on comparative analysis rather than exhaustive evaluation of all possible parameters. This approach achieves stable lane changes by considering multiple options while avoiding excessive processing time through efficient selection criteria.
3Productivity
If the system only avoids currently congested lanes rather than predicting future congestion, then the system complexity is low, but the vehicle may deviate from the normal route when congestion is predicted in the expected driving lane
Solution Approach 1:
The system predicts future congestion in expected driving lanes using driving information and performs lane changes in advance to maintain route efficiency. By anticipating congestion before it affects the expected driving lane, the system ensures continuous productive movement along the normal route without unnecessary deviations or delays.
Data Source
AI summary
According to one embodiment of the present disclosure, a lane changing apparatus of an autonomous vehicle configured to change a driving lane in consideration of a congested situation includes a controller configured to determine whether an expected driving lane is congested based on driving information, and a communicator configured to receive the driving information. At least one among an autonomous driving vehicle, a user terminal, and a server according to embodiments of the present disclosure may be associated or integrated with an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, and a 5G service related device.