Crash prediction network with graded warning for vehicle
First Claim
Patent Images
1. A method for facilitating the avoidance of a vehicle collision with an object comprising the steps of:
- a) providing a neural network;
b) evolving a good driver wherein the step of evolving a good driver includes the steps of;
e) providing a biasing input;
f) generating sensory signals;
g) inputting the sensory signals and biasing input to the neural network;
h) calculating a reward value;
i) calculating a fitness value determining the retention of the neural network;
j) repeating steps e-i a plurality of times;
c) evolving a crash predictor;
d) outputting a graded warning signal.
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Abstract
A method for facilitating the avoidance of a vehicle collision with an object includes the following steps: a) providing a neural network, b) evolving a good driver, c) evolving a crash predictor, and d) outputting a graded warning signal.
8 Citations
17 Claims
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1. A method for facilitating the avoidance of a vehicle collision with an object comprising the steps of:
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a) providing a neural network; b) evolving a good driver wherein the step of evolving a good driver includes the steps of; e) providing a biasing input; f) generating sensory signals; g) inputting the sensory signals and biasing input to the neural network; h) calculating a reward value; i) calculating a fitness value determining the retention of the neural network; j) repeating steps e-i a plurality of times; c) evolving a crash predictor; d) outputting a graded warning signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 16)
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8. A method for facilitating the avoidance of a vehicle collision with an object comprising the steps of:
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a) providing a neural network; b) evolving a good driver; c) evolving a crash predictor wherein the step of evolving a crash predictor includes the steps of; j) calculating a biasing input k) generating sensory signals; l) inputting the sensory signals and biasing input to the neural network; m) calculating a temporal value; n) inputting the calculated temporal value into a queue; o) providing an ideal temporal queue; p) determining if a crash occurs; q) calculating a reward value r) calculating a fitness value determining the retention of the neural network; s) repeating steps k-r a plurality of times; d) outputting a graded warning signal. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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17. A method for facilitating the avoidance of a vehicle collision with an object comprising the steps of:
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a) providing a neural network; b) evolving a good driver including the steps of; i) providing a biasing input; ii) generating sensory signals; iii) inputting the sensory signals and biasing input to the neural network; iv) calculating a reward value; v) calculating a fitness value determining the retention of the neural network; vi) repeating steps e-i a plurality of times; c) evolving a crash predictor including the steps of; vii) calculating a biasing input viii) generating sensory signals; ix) inputting the sensory signals and biasing input to the neural network; x) calculating a temporal value; xi) inputting the calculated temporal value into a queue; xii) providing an ideal temporal queue; xiii) determining if a crash occurs; xiv) calculating a reward value xv) calculating a fitness value determining the retention of the neural network; xvi) repeating steps k-r a plurality of times; and d) outputting a graded warning signal.
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Specification