18178720. SYSTEMS AND METHODS FOR DETECTING AND LABELING A COLLIDABILITY OF ONE OR MORE OBSTACLES ALONG TRAJECTORIES OF AUTONOMOUS VEHICLES simplified abstract (Kodiak Robotics, Inc.)
SYSTEMS AND METHODS FOR DETECTING AND LABELING A COLLIDABILITY OF ONE OR MORE OBSTACLES ALONG TRAJECTORIES OF AUTONOMOUS VEHICLES
Organization Name
Inventor(s)
Yinsen Jia of New York NY (US)
Abhyuday Puri of New York NY (US)
SYSTEMS AND METHODS FOR DETECTING AND LABELING A COLLIDABILITY OF ONE OR MORE OBSTACLES ALONG TRAJECTORIES OF AUTONOMOUS VEHICLES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18178720 titled 'SYSTEMS AND METHODS FOR DETECTING AND LABELING A COLLIDABILITY OF ONE OR MORE OBSTACLES ALONG TRAJECTORIES OF AUTONOMOUS VEHICLES
Simplified Explanation: The patent application describes systems and methods for detecting and labeling the collidability of obstacles within a vehicle environment using sensors and LiDAR technology.
- LiDAR technology is used to detect obstacles within the vehicle's environment.
- Detected obstacles are labeled based on their collidability.
- The method involves generating data points, creating patches for obstacles, and projecting LiDAR data into images for analysis.
Key Features and Innovation:
- Detection and labeling of obstacles based on collidability within a vehicle environment.
- Integration of LiDAR technology and image processing for obstacle detection.
- Automated system for determining the collidability of obstacles in real-time.
Potential Applications:
- Autonomous vehicles for improved obstacle detection and collision avoidance.
- Enhanced safety features in vehicles to prevent accidents.
- Industrial applications for obstacle detection in warehouses and manufacturing facilities.
Problems Solved:
- Improved accuracy in detecting obstacles within a vehicle's environment.
- Enhanced safety measures to prevent collisions with obstacles.
- Real-time analysis of obstacles for efficient decision-making.
Benefits:
- Increased safety for drivers and passengers.
- Reduced risk of accidents and collisions.
- Enhanced efficiency in obstacle detection and avoidance.
Commercial Applications: Title: "Advanced Obstacle Detection System for Vehicles" This technology can be utilized in the automotive industry for the development of autonomous vehicles, enhancing safety features in traditional vehicles, and improving industrial processes that require obstacle detection.
Prior Art: Readers interested in prior art related to this technology can explore research papers, patents, and industry publications on LiDAR technology, obstacle detection systems, and image processing algorithms.
Frequently Updated Research: Researchers are continuously working on improving LiDAR technology, sensor integration, and image processing algorithms for more accurate and efficient obstacle detection systems.
Questions about Obstacle Detection Systems: 1. How does this technology compare to traditional obstacle detection systems in vehicles? 2. What are the potential limitations of using LiDAR technology for obstacle detection in different environmental conditions?
Original Abstract Submitted
Systems and methods for detecting and labeling a collidability of obstacles within a vehicle environment are provided. The method may comprise generating one or more data points from one or more sensors coupled to a vehicle. The method may comprise, using a processor, detecting one or more obstacles within a LiDAR point cloud, generating a patch for each of the one or more detected obstacles, projecting the LiDAR point cloud into the image, performing a factor query on an image for each of the one or more detected obstacles, for each of the one or more detected obstacles, based on the factor query, determining a label for the obstacle, and, for each of the one or more detected obstacles, labeling the obstacle with the label. The label may indicate whether each of the one or more detected obstacles is collidable and not non-collidable.
