17932774. SYSTEMS AND METHODS FOR SCENE UNDERSTANDING simplified abstract (Ford Global Technologies, LLC)
Contents
- 1 SYSTEMS AND METHODS FOR SCENE UNDERSTANDING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR SCENE UNDERSTANDING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does this technology handle dynamic obstacles that may move unpredictably in the environment?
- 1.11 What is the computational complexity of generating possible object trajectories in real-time?
- 1.12 Original Abstract Submitted
SYSTEMS AND METHODS FOR SCENE UNDERSTANDING
Organization Name
Inventor(s)
Pietro Blandizzi of München (DE)
[[:Category:Ferenc T�r�k of München (DE)|Ferenc T�r�k of München (DE)]][[Category:Ferenc T�r�k of München (DE)]]
SYSTEMS AND METHODS FOR SCENE UNDERSTANDING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17932774 titled 'SYSTEMS AND METHODS FOR SCENE UNDERSTANDING
Simplified Explanation
The patent application describes a system, method, and computer program product for generating a possible object trajectory by analyzing sensor data to detect a moving object and obstacles in its path, defining the location of obstacles in terms of reference frames, determining when the object should veer around obstacles, and generating the possible object trajectory based on these determinations.
- Analyzing sensor data to detect a moving object and obstacles in its path
- Defining the location of obstacles in terms of reference frames
- Determining when the object should veer around obstacles
- Generating the possible object trajectory based on these determinations
Potential Applications
This technology could be applied in autonomous vehicles, robotics, and surveillance systems to navigate around obstacles efficiently and safely.
Problems Solved
This technology solves the problem of efficiently generating object trajectories in complex environments with obstacles that need to be avoided.
Benefits
The benefits of this technology include improved safety, efficiency, and accuracy in navigating around obstacles for moving objects.
Potential Commercial Applications
The technology could be used in autonomous vehicles for obstacle avoidance, in robotics for path planning, and in surveillance systems for tracking moving objects.
Possible Prior Art
One possible prior art could be existing systems for object trajectory generation in robotics and autonomous vehicles.
Unanswered Questions
How does this technology handle dynamic obstacles that may move unpredictably in the environment?
The system may need to continuously analyze sensor data and update the object trajectory in real-time to account for dynamic obstacles.
What is the computational complexity of generating possible object trajectories in real-time?
The efficiency of the system in generating object trajectories quickly and accurately in real-time could be a key factor in its practical implementation.
Original Abstract Submitted
This document discloses system, method, and computer program product embodiments for generating a possible object trajectory. For example, the method includes: analyzing sensor data to detect a moving object in an environment and at least one obstacle that the moving object is unable to traverse; generating a definition for a location of the obstacle in the environment in terms of reference frames defined for a lane and edge distances from a boundary of the lane; using the definition to detect when the moving object should or should not veer around the obstacle; and generating the possible object trajectory based on a detection of when the object should or should not veer around the obstacle.
