Driver Assistance System Trajectory Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing driver assistance systems for vehicles lack the ability to accurately predict pedestrian motion and calculate optimal vehicle trajectories that minimize accident risk, particularly in complex traffic scenarios involving multiple participants with varying motion models.
Innovation Solution
A method and system that determine the current position and motion state of pedestrians and vehicles, calculate sojourn probability distributions based on specific motion models, and compute trajectories with minimum collision probability, incorporating physical and psychological elements, and adapt to individual features and environmental conditions to guide the vehicle along an optimal path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driver assistance systems use basic obstacle detection and simple evasion maneuvers, then the system is easier to operate and faster to respond, but the ability to accurately predict pedestrian motion and minimize collision probability is reduced
Solution Approach 1:
The system performs preliminary actions by calculating sojourn probability distributions and predicting future pedestrian positions before the actual collision risk materializes. The trajectory calculation unit computes optimal evasion paths in advance based on predicted pedestrian motion, allowing the system to prepare response strategies before emergency situations fully develop.
Solution Approach 2:
The system dynamically adapts its behavior by continuously updating pedestrian motion predictions and recalculating trajectories in real-time. The pedestrian motion prediction uses dynamic models that adjust to observed pedestrian behavior patterns, and the trajectory optimization continuously adapts to changing vehicle and pedestrian states, making the system flexible rather than rigid.
2Reliability
If the system continuously calculates sojourn probability distributions and optimal trajectories, then the collision probability is minimized, but the computational load and processing time increase
Solution Approach 1:
The system performs preliminary calculations of sojourn probability distributions for multiple potential pedestrian destinations and trajectory options before collision risk becomes critical. By pre-computing probability distributions for various scenarios, the system reduces the computational burden during emergency response, allowing faster final decision-making.
Solution Approach 2:
The system calculates sojourn probability distributions for multiple potential pedestrian destinations beyond what is strictly necessary for immediate collision avoidance. This excessive calculation of potential scenarios provides a richer set of predicted pedestrian behaviors, enabling more robust trajectory optimization even though it increases computational load.
3Measurement precision
If the system incorporates detailed pedestrian motion models with physical and psychological elements, then the prediction accuracy improves, but the device complexity increases
Solution Approach 1:
The pedestrian motion prediction system is segmented into distinct functional components: a sojourn probability calculation unit that handles spatial-temporal probability distributions, a trajectory calculation unit that determines optimal paths, and a control unit that executes maneuvers. This segmentation allows each component to specialize in specific aspects of prediction without requiring the entire system to handle all complexities simultaneously.
Data Source
AI summary
A method is provided for operating a driver assistance system, and a driver assistance system. The method includes the steps: determination of a current position of an object in an environment surrounding the vehicle; determination of a first current state of motion of the object; determination of a second current state of motion of the vehicle; calculation of a sojourn probability distribution of the object, the sojourn probability distribution being a function of time and of space and being based on an object motion model in connection with the determined current position of the object and the determined current state of motion of the object; calculation of a trajectory, based on the calculated sojourn probability distribution of the object and on the second current state of motion of the vehicle, having a minimum collision probability for the vehicle and the object; and operation of the driver assistance system of the vehicle based on the calculated trajectory.