Autonomous Vehicle Obstacle Bypass Control in Narrow Lane Gaps
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Solution Overview
Problem
Current vehicle automatic driving systems lack an effective method to determine whether a vehicle can safely bypass multiple obstacles in a travel lane, leading to potential collisions or inefficient lane changes.
Innovation Solution
A method and system that generate a road environment model to assess the position, size, and distance of obstacles within a preset range, determining if the vehicle can bypass obstacles by calculating passage widths and vehicle speed, and controlling the vehicle to either navigate around or change lanes accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle attempts to bypass multiple obstacles in the current travel lane, then the vehicle can maintain its lane and continue driving, but the risk of collision increases due to insufficient passage width
Solution Approach 1:
The system performs preliminary assessment of passage width and obstacle distance before the vehicle attempts to bypass obstacles. By calculating whether the passage width between obstacles is sufficient and whether the obstacle distance allows safe passage at current speed, the system determines in advance whether bypass is feasible, preventing collision risks before they occur
Solution Approach 2:
The system continuously monitors the road environment model, obstacle positions, passage widths, and vehicle speed, then feeds this information back to the control unit. Based on this feedback, the control unit dynamically adjusts the bypass decision - allowing lane maintenance when passage is safe or triggering lane change when passage width or distance is insufficient
2Reliability
If the vehicle changes lane to avoid obstacles, then the collision risk is reduced, but the driving efficiency decreases due to unnecessary lane changes
Solution Approach 1:
The system performs preliminary evaluation of both bypass and lane change options before executing any maneuver. By assessing passage width and obstacle distance in advance, the system determines whether obstacle bypass is feasible, allowing the vehicle to maintain lane when safe (improving efficiency) and only change lanes when necessary (maintaining safety)
Solution Approach 2:
The system uses quantitative parameters (passage width threshold, obstacle distance threshold, vehicle speed) to objectively determine the optimal action. By comparing actual measurements against these parameters, the system makes data-driven decisions that balance safety and efficiency, avoiding unnecessary lane changes while ensuring collision avoidance when needed
3Loss of time
If the vehicle maintains constant speed when approaching obstacles, then the response time is reduced, but the safety margin decreases when passage width is limited
Solution Approach 1:
The system dynamically adjusts vehicle speed based on real-time assessment of passage width and obstacle distance. When passage width is sufficient and obstacle distance is large, the vehicle maintains constant speed for quick response. When passage width is limited or obstacle distance is small, the system reduces speed to increase safety margin, optimizing the balance between response time and safety
Data Source
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AI summary
Disclosed are an obstacle avoidance method and system during automatic driving of a vehicle, and the vehicle. The method comprises: providing a road environment model within a pre-set range near a vehicle (S1); if there are a plurality of obstacles in the current driving lane within the pre-set range, acquiring, according to the road environment model, the position and size of a first adjacent obstacle (A), the position and size of a second adjacent obstacle (B), the width of the current driving lane and the obstacle distance between the first adjacent obstacle (A) and the second adjacent obstacle (B) in a driving direction of the current driving lane, and acquiring the speed of the vehicle (S2); determining, according to the position and size of the first obstacle (A), the position and size of the second obstacle (B), the speed of the vehicle and the obstacle distance, whether the vehicle can bypass the first adjacent obstacle (A) and the second adjacent obstacle (B) in the current driving lane and pass (S3); and carrying out obstacle avoidance control on the vehicle (S4). Whether the vehicle can pass is determined according to the positions and sizes of the obstacles on the current driving road, and thus the vehicle is controlled.