18179075. SYSTEMS AND METHODS FOR GENERATING A HEATMAP CORRESPONDING TO AN ENVIRONMENT OF A VEHICLE simplified abstract (Kodiak Robotics, Inc.)
Contents
SYSTEMS AND METHODS FOR GENERATING A HEATMAP CORRESPONDING TO AN ENVIRONMENT OF A VEHICLE
Organization Name
Inventor(s)
Kenar Vyas of Palo Alto CA (US)
Sean Roelofs of Soquel CA (US)
Collin C. Otis of Driggs ID (US)
Philip C. Du Toit of Fort Collins CO (US)
SYSTEMS AND METHODS FOR GENERATING A HEATMAP CORRESPONDING TO AN ENVIRONMENT OF A VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18179075 titled 'SYSTEMS AND METHODS FOR GENERATING A HEATMAP CORRESPONDING TO AN ENVIRONMENT OF A VEHICLE
The abstract describes systems and methods for detecting a portion of a vehicle's environment using sensors and machine learning.
- Sensors on the vehicle collect environmental data such as LiDAR data, camera data, and path data of other vehicles.
- This data is input into a machine learning model to generate a heatmap.
- The processor uses the environmental data to determine a portion of the environment likely to be near pavement markings.
- A heatmap is generated to visualize this portion of the environment.
Potential Applications: - Autonomous driving systems - Traffic management systems - Parking assistance systems
Problems Solved: - Enhancing vehicle safety by detecting relevant portions of the environment - Improving navigation accuracy in complex environments
Benefits: - Increased safety for drivers and pedestrians - Enhanced efficiency in vehicle navigation - Reduced risk of accidents and collisions
Commercial Applications: - Automotive industry for autonomous vehicles - Transportation and logistics companies - Smart city infrastructure development
Prior Art: Prior art related to this technology may include patents or research on LiDAR data processing, machine learning in vehicle systems, and environmental detection in autonomous vehicles.
Frequently Updated Research: Researchers may be exploring advancements in LiDAR technology, machine learning algorithms for environmental detection, and applications of heatmaps in vehicle systems.
Questions about the Technology: 1. How does this technology improve the accuracy of environmental detection in vehicles? 2. What are the potential challenges in implementing this system in real-world driving scenarios?
Original Abstract Submitted
Systems and methods for detecting a portion of an environment of a vehicle are provided. The method may comprise generating, using one or more sensors coupled to a vehicle, environment data from an environment of the vehicle, wherein the environmental data comprises one or more of the following: ground LiDAR data from the environment; camera data from the environment; and path data corresponding to a change in position of one or more other vehicles within the environment. The method may comprise inputting the environmental data into a machine learning model trained to generate a heatmap, and, using a processor, based on the environmental data, determining a portion of the environment, wherein the portion of the environment comprises an area having a likelihood, greater than a minimum threshold, of being adjacent to one or more pavement markings, and generating the heatmap, wherein the heatmap corresponds to the portion of the environment.
