Follower Vehicle Rejoin Control Using Learned Leader Driving Patterns
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Solution Overview
Problem
Follower vehicles in a group driving scenario often deviate from the group due to changes in road conditions or traffic congestion, making it difficult to rejoin the group when autonomous driving is resumed.
Innovation Solution
An apparatus and method that includes an inter-vehicle communication unit, a leader vehicle learning unit, an autonomous drive unit, and a follow-up control unit to learn and apply the driving patterns of a leader vehicle, enabling the follower vehicle to autonomously rejoin the group driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous driving is performed based on normal driving patterns, then the autonomous drive unit can operate with standard control logic, but the follower vehicle cannot effectively rejoin the group after deviating from the driving pattern
Solution Approach 1:
The system performs preliminary learning of the leader vehicle's driving pattern during normal group driving operations. The follow-up control unit accumulates and analyzes driving data (steering angle, acceleration, braking) before any deviation occurs, so that when the follower vehicle deviates and needs to rejoin, the learned pattern is already available for immediate application, enabling quick and accurate reintegration into the group driving formation.
2Adaptability or versatility
If the follower vehicle uses standard autonomous driving control, then the control system remains simple, but the follower vehicle fails to adapt to changing road conditions and leader vehicle behavior
Solution Approach 1:
The follow-up control unit continuously receives feedback from the inter-vehicle communication unit about the leader vehicle's driving state and traveling track. This feedback loop allows the system to dynamically adjust the learned driving pattern based on real-time conditions, enabling the follower vehicle to adapt to changing road conditions and leader behavior without requiring a completely complex control system architecture.
Solution Approach 2:
Instead of implementing complex decision-making logic, the system creates a simplified copy of the leader vehicle's driving pattern by learning and storing the relationship between driving states and control actions. This copied pattern can be directly applied when the follower vehicle needs to rejoin the group, providing adaptability while maintaining relative simplicity in the control system.
3Ease of operation
If the follower vehicle deviates from group driving, then the vehicle can operate independently, but the group driving formation is disrupted and the follower cannot easily rejoin
Solution Approach 1:
The system maintains readiness to rejoin group driving by continuously learning and updating the leader vehicle's driving pattern even when the follower vehicle operates independently. This preliminary preparation ensures that when the follower vehicle wishes to rejoin the group, the necessary control parameters and driving patterns are already available, enabling seamless reintegration without disrupting the group formation.
Data Source
AI summary
The apparatus for controlling group driving according to as aspect may include an inter-vehicle communication unit for communicating with a leader vehicle to receive the driving state and traveling track of the leader vehicle, a leader vehicle learning unit for learning a driving pattern of the leader vehicle based on the driving state of the leader vehicle received through the inter-vehicle communication unit, an autonomous drive unit for autonomously driving the follower vehicle in accordance with the traveling track of the leader vehicle, and a follow-up control unit for receiving the driving state of the leader vehicle to learn the driving pattern of the leader vehicle, controlling the autonomous drive unit to follow the traveling track of the leader vehicle, and performing the autonomous driving by applying the driving pattern of the leader vehicle.


