Vehicle Collision Avoidance Module with Real-Time Path Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In autonomous driving systems, collision detection devices are not integrated with the driving system, leading to high misjudgment probabilities and potential collisions, as they only detect risks without taking control of the vehicle.
Innovation Solution
A method and apparatus that incorporate a collision detection module and a collision avoidance module, which interact with the vehicle's driving system to enhance collision risk detection accuracy and enable the collision avoidance module to take control, defining and updating safe paths in real-time to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a separate collision detection device is used to determine collision risk based on distance between vehicles, then the detection function is provided, but the misjudgment probability increases and collision risk remains
Solution Approach 1:
The patent merges the collision detection module with the autonomous driving system, allowing the detection module to access and process the same sensing data (laser radar, millimeter-wave radar, cameras) that the driving system uses. This integration enables the detection module to accurately assess collision risk by analyzing the same environmental perception data, thereby reducing misjudgment while maintaining manageable system complexity through modular architecture.
2Reliability
If the collision detection device only performs detection without taking over control, then the detection function is maintained, but collision risk endangers the autonomous vehicle
Solution Approach 1:
The patent implements a feedback mechanism where the collision detection module continuously monitors collision risk and provides real-time feedback to the collision avoidance module. When collision risk exceeds a threshold, the system automatically triggers avoidance actions (braking, steering, acceleration control) without requiring manual intervention, thereby ensuring both high reliability in collision avoidance and ease of operation through automated control takeover.
3Reliability
If the collision avoidance module interacts with the driving system to take control, then collision risk is reduced, but the system complexity increases
Solution Approach 1:
The patent segments the autonomous driving system into distinct functional modules: sensing modules (laser radar, millimeter-wave radar, cameras), processing modules (trajectory planning, collision detection), and control modules (braking, steering, acceleration). The collision avoidance module interacts with these segmented components through standardized interfaces, enabling effective safety control while managing system complexity through modular design and clear division of responsibilities.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Embodiments of the present disclosure provide a method for detecting and avoiding a collision applied to a vehicle which determines a first path according to a real-time vehicle status. The method includes: S1) predefining a second path according to the real-time vehicle status; S2) determining whether the current first path is at risk of a collision, and determining whether the current second path is at risk of a collision; and S3) controlling the vehicle with an apparatus using a method for avoiding a collision, in a case where the current first path is at risk of a collision and/or the current second path is at risk of a collision. The technical solution of the present disclosure increases the accuracy of collision risk detection by introducing a collision detection module and a collision avoidance module. Before a collision risk occurs, the introduced modules take over an automatic driving system, thereby ensuring driving according a safe trajectory and avoiding the collision risk.