Reverse Maneuver Prediction for Autonomous Vehicle Path Planning
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Solution Overview
Problem
Autonomous vehicles face challenges in predicting the behavior of other vehicles or objects in their environment, particularly when these vehicles are preparing to perform reverse maneuvers, which can lead to safety and efficiency issues.
Innovation Solution
The system uses sensor data and machine-learned models to detect reverse indicators on vehicles and analyze environmental features to predict their trajectories, allowing autonomous vehicles to adjust their paths to safely accommodate the predicted maneuvers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles use traditional route planning methods to guide through congested areas, then they can navigate through static and dynamic objects, but they face challenges in predicting the behavior of other vehicles or objects which compromises safety
Solution Approach 1:
The system performs preliminary detection of reverse indicators (lights, signals, positioning) on other vehicles before the autonomous vehicle makes routing decisions. By identifying vehicles preparing to reverse in advance, the system can proactively adjust its path to accommodate these maneuvers, improving safety without requiring complex real-time prediction of vehicle behavior
Solution Approach 2:
The system uses reverse indicators (lights, signals, positioning data) as intermediary cues to infer the intent of other vehicles. These indicators serve as mediators between the autonomous vehicle's sensors and the actual reverse maneuver, allowing the system to plan safely without needing to predict the full behavior trajectory of other vehicles
2Reliability
If the system detects and responds to reverse maneuvers in real-time, then safety is improved, but processing resources are consumed and response time increases
Solution Approach 1:
The system continuously monitors for reverse indicators and performs preliminary detection while the autonomous vehicle is still approaching the area. This early detection allows the system to begin path adjustment calculations before the reverse maneuver actually occurs, reducing the processing burden during critical response moments and maintaining safety without excessive processing time
Solution Approach 2:
The system extracts only the critical reverse indicator features (light presence, signal state, positioning data) from the complex sensor data stream, rather than processing all environmental information. This selective extraction focuses computational resources on the most relevant safety-critical information, improving response efficiency while maintaining detection accuracy
3Object-affected harmful factors
If the autonomous vehicle provides adequate space for reversing vehicles, then collision risk is reduced, but the vehicle's own efficiency and productivity decrease
Solution Approach 1:
The system performs preliminary path planning that anticipates reverse maneuvers by detecting reverse indicators in advance. By pre-calculating alternative routes or temporary pauses before the reversing vehicle actually maneuvers, the system provides necessary clearance without requiring the autonomous vehicle to make frequent emergency stops, thus maintaining better productivity while reducing collision risk
Solution Approach 2:
The system dynamically adjusts the autonomous vehicle's path based on the detected reverse indicators and predicted trajectory of the other vehicle. Rather than using fixed conservative spacing, the system optimizes the accommodation strategy in real-time, providing adequate space only when and where needed, thereby minimizing the impact on overall vehicle efficiency while maintaining safety
Data Source
AI summary
Techniques for determining that a first vehicle is associated with a reverse state, and controlling a second vehicle based on the reverse state, are described herein. In some examples, the first vehicle may provide an indication that the first vehicle will be executing a reverse maneuver, such as with reverse lights on the vehicle or by positioning at an angle relative to a road or parking space to allow for the reverse maneuver into a desired location. A planning system of the second vehicle (such as an autonomous vehicle) may receive sensor data and determine a variety of these indications to determine a probability that the vehicle is going to execute a reverse maneuver. The second vehicle can further determine a likely trajectory of the reverse maneuver and can provide appropriate accommodations (e.g., time and/or space) to allow the second vehicle to execute the maneuver safely and efficiently.