18161017. METHODS AND SYSTEMS FOR HANDLING OCCLUSIONS IN OPERATION OF AUTONOMOUS VEHICLE simplified abstract (Ford Global Technologies, LLC)

METHODS AND SYSTEMS FOR HANDLING OCCLUSIONS IN OPERATION OF AUTONOMOUS VEHICLE

Organization Name

Ford Global Technologies, LLC

Inventor(s)

Damir Mirkovic of München (DE)

Daniel Althoff of München (DE)

Christian Appelt of Gifhorn (DE)

Georgios Fagogenis of Munich (DE)

David Lenz of Munich (DE)

METHODS AND SYSTEMS FOR HANDLING OCCLUSIONS IN OPERATION OF AUTONOMOUS VEHICLE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18161017 titled 'METHODS AND SYSTEMS FOR HANDLING OCCLUSIONS IN OPERATION OF AUTONOMOUS VEHICLE

Simplified Explanation

An autonomous vehicle can navigate environments with obstacles that block its sensors by using spatiotemporal reasoning and initialized particles to identify potential occluded actors and generate a trajectory.

Key Features and Innovation

• Autonomous vehicle navigates environments with occlusions.
• Utilizes sensor data and initialized particles to identify potential occluded actors.
• Generates trajectory based on spatiotemporal reasoning and particles.
• Each particle associated with a potential actor.

Potential Applications

This technology can be applied in:

• Autonomous driving systems.
• Surveillance systems.
• Robotics for obstacle avoidance.

Problems Solved

• Overcoming occlusions in sensor data.
• Improving object detection in obstructed environments.
• Enhancing navigation in complex scenarios.

Benefits

• Increased safety in autonomous vehicles.
• Improved accuracy in detecting moving objects.
• Enhanced decision-making capabilities for navigation.

Commercial Applications

Enhancing Autonomous Driving Systems for Improved Safety and Efficiency

This technology can revolutionize the autonomous driving industry by providing advanced solutions for navigating challenging environments with occlusions, leading to safer and more efficient transportation systems.

Prior Art

Further research can be conducted in the field of spatiotemporal reasoning and particle-based navigation systems to explore existing technologies and advancements in similar areas.

Frequently Updated Research

Stay updated on the latest developments in autonomous vehicle navigation systems, sensor fusion technologies, and object detection algorithms to enhance the capabilities of this innovative technology.

Questions about Autonomous Vehicle Navigation with Occlusions

How does spatiotemporal reasoning improve object detection in obstructed environments?

Spatiotemporal reasoning allows the autonomous vehicle to predict the movement of potential occluded actors based on their previous positions and velocities, enhancing object detection in obstructed environments.

What are the key challenges in implementing particle-based navigation systems for autonomous vehicles?

The key challenges in implementing particle-based navigation systems include optimizing computational efficiency, handling uncertainty in sensor data, and ensuring robust performance in real-world scenarios.

Original Abstract Submitted

An autonomous vehicle navigates an environment in which occlusions block the vehicle's ability to detect moving objects. The vehicle handles this by receiving sensor data corresponding to the environment, identifying one or more particles of a plurality of initialized particles that have a non-zero probability of being associated with a potential occluded actor in the occluded region, and generating a trajectory of the autonomous vehicle for traversing the environment based on spatiotemporal reasoning about the occluded region and taking into account the one or more particles. Each particle may be associated with a potential actor.