MULTIMODAL TRAJECTORY PREDICTIONS BASED ON GEOMETRIC ANCHORING

Organization Name

Inventor(s)

Adam Abdulhamid of San Francisco CA (US)

MULTIMODAL TRAJECTORY PREDICTIONS BASED ON GEOMETRIC ANCHORING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18158183 titled 'MULTIMODAL TRAJECTORY PREDICTIONS BASED ON GEOMETRIC ANCHORING

Simplified Explanation: The patent application describes systems and techniques for predicting the trajectory of an object near an autonomous vehicle based on geometric anchoring.

Key Features and Innovation:

Identification of predicted trajectories of objects near an AV
Assignment of modes to predicted trajectories based on geometry
Determination of probabilities for different modes
Updating planned behavior of the AV based on probabilities of modes

Potential Applications: This technology can be applied in autonomous vehicles, drones, robotics, and other systems requiring trajectory predictions near objects.

Problems Solved: This technology addresses the challenge of accurately predicting the trajectory of objects near autonomous vehicles to ensure safe and efficient navigation.

Benefits:

Improved safety for autonomous vehicles
Enhanced efficiency in navigation
Better decision-making based on predicted trajectories

Commercial Applications: The technology can be utilized in the development of advanced driver assistance systems, autonomous delivery vehicles, and industrial automation processes.

Prior Art: Researchers can explore prior patents related to trajectory prediction, geometric anchoring, and autonomous vehicle technology to understand the existing knowledge in this field.

Frequently Updated Research: Stay updated on research related to trajectory prediction algorithms, geometric modeling techniques, and advancements in autonomous vehicle technology to enhance the effectiveness of this innovation.

Questions about Multimodal Trajectory Predictions: 1. How does geometric anchoring improve the accuracy of trajectory predictions near autonomous vehicles? 2. What are the potential limitations of using multimodal trajectory predictions in real-world scenarios?

By providing a detailed summary of the abstract, key features, potential applications, problems solved, benefits, commercial applications, prior art, frequently updated research, and questions about multimodal trajectory predictions, this article offers a comprehensive overview of the innovative technology described in the patent application.

Original Abstract Submitted

Systems and techniques are provided for multimodal trajectory predictions of an object near an autonomous vehicle (AV) based on geometric anchoring. An example process can include identifying one or more predicted trajectories of an object within a proximity of an AV; assigning modes to the one or more predicted trajectories, wherein a respective mode is assigned to each predicted trajectory of the one or more predicted trajectories based on a geometry of the predicted trajectory of the object; determining probabilities of the modes based on one or more parameters, wherein a first mode of the modes is associated with a first probability and a second mode of the modes is associated with a second probability; and updating a planned behavior of the AV based on a combination of the first mode associated with the first probability and the second mode associated with the second probability.