17534624. VEHICLE MASS MEASUREMENT FOR AUTOMATED BRAKING simplified abstract (International Business Machines Corporation)
Contents
VEHICLE MASS MEASUREMENT FOR AUTOMATED BRAKING
Organization Name
International Business Machines Corporation
Inventor(s)
VEHICLE MASS MEASUREMENT FOR AUTOMATED BRAKING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17534624 titled 'VEHICLE MASS MEASUREMENT FOR AUTOMATED BRAKING
Simplified Explanation
The patent application describes a method for adjusting the threshold braking distance of a collision avoidance system in a vehicle based on the vehicle mass. Here are the key points:
- Scattered rays are constructed from a set of point data.
- Ray slopes are computed from the set of scattered rays.
- The ray slopes are mapped to trigonometric functions.
- An optimization method is used to select a parameter of the trigonometric functions.
- An inverse of the trigonometric functions is used to compute a vehicle mass corresponding to the set of point data.
- The vehicle mass is used to adjust the threshold braking distance of the collision avoidance system.
- The threshold braking distance is the distance from an object predicted to collide with the vehicle.
- By braking at least the threshold braking distance from the object, a predicted collision can be avoided.
Potential applications of this technology:
- Collision avoidance systems in vehicles
- Autonomous vehicles
- Advanced driver assistance systems
Problems solved by this technology:
- Improving the accuracy of collision predictions
- Optimizing the braking distance based on the vehicle mass
Benefits of this technology:
- Enhanced safety by avoiding collisions
- Improved efficiency of collision avoidance systems
- Customization of threshold braking distance based on vehicle characteristics
Original Abstract Submitted
From a set of point data, a set of scattered rays is constructed. From the set of scattered rays, a set of ray slopes is computed. The set of ray slopes is mapped to a corresponding set of trigonometric functions. Using an optimization method, a parameter of the set of trigonometric functions is selected. Using an inverse of the set trigonometric functions, a vehicle mass corresponding to the set of point data is computed. Based on the vehicle mass, a threshold braking distance of a collision avoidance system of the vehicle is adjusted, the threshold braking distance comprising a distance from an object predicted to collide with the vehicle. By braking the vehicle at least the threshold braking distance from the object, a predicted collision between the vehicle and the object is avoided.
