Host Vehicle Obstacle Avoidance Control Strategy
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Solution Overview
Problem
In obstacle avoidance scenarios, existing technologies face challenges in consistently determining appropriate drive control strategies for host vehicles when encountering obstacles and oncoming vehicles, leading to potential inconsistencies in priority determination and safety.
Innovation Solution
A processing method that monitors target vehicles in oncoming lanes and selects either deviation control to avoid obstacles or standby control based on overlapping travel situations, ensuring appropriate coping with obstacle avoidance scenes by predicting and managing interactions between host and target vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the host vehicle deviates to the oncoming lane to avoid an obstacle, then the host vehicle can bypass the obstacle zone, but it may cause a conflict with target vehicles traveling in the oncoming lane
Solution Approach 1:
The system performs preliminary monitoring of the oncoming lane to detect target vehicles before the host vehicle deviates to avoid the obstacle. By detecting the presence of target vehicles in advance, the system can predict potential overlapping travel situations and adjust the deviation timing or path accordingly, preventing conflicts before they occur
Solution Approach 2:
The system dynamically adjusts the deviation control strategy based on real-time detection results. When target vehicles are detected in the oncoming lane, the system modifies the deviation timing or path to avoid overlapping with target vehicle trajectories, making the obstacle avoidance process adaptive and safety-oriented
2Reliability
If the host vehicle waits for the oncoming lane to be clear before deviating, then collision risk is reduced, but the time to bypass the obstacle increases
Solution Approach 1:
The system performs preliminary detection and prediction of target vehicle positions and trajectories before the host vehicle needs to deviate. By having this information ready in advance, the system can make rapid decisions about optimal deviation timing without delaying the obstacle avoidance process
Solution Approach 2:
The system continuously monitors the oncoming lane for target vehicles and uses this feedback to adjust the deviation timing. When the oncoming lane is detected to be clear or when target vehicles are at safe distances, the system proceeds with deviation, optimizing the balance between safety and time efficiency
Data Source
AI summary
A processing method implemented by a host mobile object includes steps of: monitoring a target mobile object traveling in an oncoming lane; and upon determining that the target mobile object traveling in the oncoming lane is detected, selecting, as driving control given to the host mobile object according to an overlapping travel situation where a future travel of the host mobile object and a future travel of the target mobile object would overlap with each other in the oncoming lane, either (i) deviation control for the host mobile object to deviate from the host lane to the oncoming lane or (ii) standby control for the host mobile object to stay in the host lane.


