Autonomous Vehicle Pocket Lane Navigation Control
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Solution Overview
Problem
Autonomous vehicles face challenges when navigating intersections with pocket lanes, as they may not adequately consider waiting vehicles or alternative paths, leading to potential accidents or delays.
Innovation Solution
A drive control method and apparatus for autonomous vehicles that analyze pocket lane conditions, including traffic congestion, distance to rear vehicles, and traffic light colors, to determine whether to enter or bypass the pocket lane, and generate a tracking path or new driving path to ensure safe navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle strictly follows the originally generated global path, then the driving route is simple and easy to execute, but the vehicle may cause accidents when vehicles form queues on the driving lane and pocket lane
Solution Approach 1:
The path planning system dynamically adjusts the driving path based on real-time detection of pocket lane conditions and queue formations. When vehicles are detected waiting in the pocket lane, the system transitions from following the original global path to generating an alternative path that bypasses the pocket lane area, thereby adapting to changing traffic conditions while maintaining safety
Solution Approach 2:
The system performs preliminary detection of pocket lane conditions before the vehicle reaches the intersection. By detecting waiting vehicles and queue formations in advance, the system can proactively plan alternative paths and prepare for safe navigation, preventing potential accidents before they occur
2Adaptability or versatility
If the autonomous vehicle detects and responds to pocket lane conditions in real-time, then the safety and adaptability are improved, but the computational complexity and processing time increase
Solution Approach 1:
The control system is divided into specialized modules: a pocket lane detection module that identifies waiting vehicles and queue conditions, a path generation module that creates alternative routes, and a execution module that follows the planned path. This segmentation allows each module to focus on specific tasks, improving adaptability while managing system complexity through modular architecture
Solution Approach 2:
The system introduces an intermediate path planning layer between the global path generator and the vehicle execution system. This intermediary layer processes real-time pocket lane conditions and generates local path adjustments, acting as a mediator that translates complex environmental data into actionable steering commands without overwhelming the execution system
3Productivity
If the autonomous vehicle enters the pocket lane to make a left turn, then the route efficiency is improved, but the risk of collision increases when the pocket lane is congested
Solution Approach 1:
The system continuously monitors pocket lane conditions through sensor feedback, detecting the presence of waiting vehicles and queue formations. Based on this real-time feedback, the system determines whether to proceed with entering the pocket lane or to generate an alternative path, dynamically adjusting behavior to balance route efficiency with collision risk mitigation
Data Source
AI summary
A drive control apparatus and method for an autonomous vehicle is provided. The drive control method includes: determining whether a subject vehicle has entered a pocket lane area during autonomous driving; determining whether the subject vehicle enters a pocket lane according to pocket lane conditions that are determined on the basis of surrounding environment information of the subject vehicle when the subject vehicle enters the pocket lane area; generating a tracking path with respect to a front vehicle when it is determined to enter the pocket lane; and performing the autonomous driving by controlling the subject vehicle to follow the front vehicle according to the tracking path with respect to the front vehicle.