Autonomous Vehicle Object Size Adjustment for Collision Avoidance
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Solution Overview
Problem
Autonomous vehicles face challenges in accurately determining the size and position of forward objects due to limitations in sensor resolution and orientation, which can lead to inadequate driving maneuvers and potential collisions.
Innovation Solution
A method and system that determine a size adjustment factor to predict the laterally innermost point of detected objects, using sensor data to adjust for uncertainties and improve driving maneuvers, involving the use of a processor and sensor system to analyze shape profiles and calculate size factors for precise object detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If sensor resolution and orientation are used to detect objects, then object detection capability is improved, but measurement precision of object size and position deteriorates due to sensor limitations
Solution Approach 1:
The patent changes the parameters of object detection by determining a size adjustment factor based on the detected shape profile of the object. Instead of relying solely on raw sensor data, the system adjusts the perceived size parameters of the object to account for sensor resolution limitations and orientation effects, thereby improving measurement precision while maintaining detection capability
Solution Approach 2:
The patent introduces an intermediary computational step by determining a size adjustment factor that mediates between the raw sensor detection data and the final object size/position measurements. This adjustment factor acts as a corrective intermediary that compensates for sensor limitations without requiring hardware changes
2Measurement precision
If size adjustment factor is determined to predict laterally innermost point, then driving maneuver accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent applies local quality by determining the size adjustment factor specifically for the laterally innermost point of the object rather than uniformly adjusting all object parameters. This localized approach improves driving maneuver accuracy at the critical inner boundary while minimizing unnecessary computational overhead for other object parameters
Solution Approach 2:
The patent performs preliminary action by determining the size adjustment factor and predicting the laterally innermost point before executing the driving maneuver. This advance computational preparation allows the vehicle to plan safe trajectories in advance, improving maneuver accuracy while organizing computations efficiently to manage complexity
Data Source
AI summary
Systems and methods relating to the operation of an autonomous vehicle relative to forward objects in an external environment are described. At least a forward portion of the external environment can be sensed to detect an object therein. A size adjustment factor can be determined to predict a laterally innermost point of the detected object relative to the autonomous vehicle. A driving maneuver for the autonomous vehicle can be determined based at least partially on the predicted laterally innermost point of the detected object relative to the autonomous vehicle.