Vehicle Speed Determination Using Risk-Based Probability Redistribution
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Solution Overview
Problem
In self-driving technologies, determining vehicle speed based on predicted action intentions of surrounding objects often ignores potential collision risks, leading to inappropriate speed settings and safety risks.
Innovation Solution
A method and apparatus that compute a probability distribution of action intentions of surrounding objects, redistribute probabilities based on travel times to risk areas, and predict motion status variations to determine an appropriate vehicle speed, considering each possible action intention and its associated collision risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the vehicle determines speed based on predicted action intentions of surrounding objects, then the speed determination process is simplified, but collision risks are ignored leading to safety issues
Solution Approach 1:
The system performs preliminary action by computing travel times to risk areas in advance and using these pre-computed values to adjust probability distributions. This allows the system to consider multiple possible action intentions and their associated risks without significantly increasing computational complexity during the decision-making process.
2Reliability
If the vehicle considers all possible action intentions and their associated risks, then safety is improved, but the computational complexity increases
Solution Approach 1:
The system changes parameters by adjusting probability distributions based on travel times to risk areas. Instead of evaluating all possible scenarios in detail, the system modifies the probability weights of different action intentions according to their risk levels, achieving comprehensive risk assessment through parameter adjustment rather than exhaustive analysis.
3Measurement precision
If the vehicle uses probability redistribution based on travel times, then speed determination accuracy is improved, but computational time increases
Solution Approach 1:
The system performs preliminary computation of travel times to various risk areas and stores these values for reuse. This pre-computation approach allows the system to quickly adjust probability distributions during speed determination without repeatedly calculating travel times, thus improving accuracy while minimizing additional computational time.
Data Source
AI summary
A method and an apparatus for determining a vehicle speed computing a probability distribution of action intentions based on observation information of a surrounding object. Then, a probability redistribution of the different action intentions is computed based on travel times for the vehicle to travel from a current position to risk areas corresponding to the different action intentions, motion status variations of the surrounding object with the different action intentions are predicted based on the travel times for the vehicle to travel to the risk areas corresponding to the different action intentions. Finally, the travelling speed of the vehicle is determined based on the probability redistribution of the different action intentions, the motion status variations of the surrounding object with the different action intentions, and motion status variations of the vehicle under different travelling speed control actions.