Autonomous moving body
US-2016062361-A1 · Mar 3, 2016 · US
US11226350B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11226350-B2 |
| Application number | US-201916562043-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 5, 2019 |
| Priority date | Sep 7, 2018 |
| Publication date | Jan 18, 2022 |
| Grant date | Jan 18, 2022 |
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Embodiments of the present disclosure provide a method and device for detecting a speed of an obstacle, a computer device, and a storage medium. The method includes: calculating at least two real-time speeds corresponding to the obstacle by using a multi-frame difference algorithm according to multi-frame data acquired by a sensor in a preset time window; calculating at least two speed statistic values corresponding to the obstacle according to the at least two real-time speeds; mapping each of the at least two speed statistic values to a corresponding static probability according to a mapping relationship between speed statistic values and static probabilities, to obtain at least two static probabilities; and fusing the at least two static probabilities to obtain a fused static probability of the obstacle, and determining the speed of the obstacle according to the fused static probability.
Opening claim text (preview).
What is claimed is: 1. A method for detecting a speed of an obstacle, comprising: calculating at least two real-time speeds corresponding to the obstacle by using a multi-frame difference algorithm according to multi-frame data acquired by a sensor in a preset time window; calculating at least two speed statistic values corresponding to the obstacle according to the at least two real-time speeds; mapping each of the at least two speed statistic values to a corresponding static probability according to a mapping relationship between speed statistic values and static probabilities, to obtain at least two static probabilities; and fusing the at least two static probabilities to obtain a fused static probability of the obstacle, and determining the speed of the obstacle according to the fused static probability. 2. The method according to claim 1 , wherein the at least two speed statistic values comprise: a variance of speed modulus, a mean value of speed angle difference, and a second-order variance of the speed modulus. 3. The method according to claim 2 , wherein fusing the at least two static probabilities to obtain the fused static probability of the obstacle comprises: calculating the fused static probability P final of the obstacle by: P final = e - ∑ logit ( P i ) 1 + e - ∑ logit ( P i ) , i ∈ [ 2 , N ] , where logit ( P i ) = log P i 1 - P i , N denotes a number of the static probabilities, and P i denotes the static probability corresponding to the i th speed statistic value. 4. The method according to claim 1 , wherein the mapping relationship between speed statistic values and static probabilities comprises: P = { 0 , v < t 1 - e - ( v - t s ) 2 , v ≥ t where v denotes the speed statistic value, P denotes the static probability, and t and s denote preset mapping parameters. 5. The method according to claim 4 , wherein different mapping parameters are assigned to different speed statistic values; wherein the preset mapping parameter t corresponding to the variance of the speed modulus is greater than the preset mapping parameter t corresponding to the mean value of the speed angle difference, and the preset mapping parameter t corresponding to the mean value of the speed angle difference is greater than the preset mapping parameter t corresponding to the second-order variance of the speed modulus; the speed statistic value v corresponding to the variance of speed modulus is greater than the speed statistic value v corresponding to the mean value of the speed angle difference, and the speed statistic value v corresponding to the mean value of the speed angle difference is greater than the speed statistic value v corresponding to the second-order variance of the speed modulus. 6. The method according to claim 1 , wherein determining the speed of the obstacle according to the fused static probability comprises: comparing the fused static probability with a probability threshold; determining that the obstacle is in a static state in response to determining that the fused static probability is greater than or equal to the probability threshold; and determining the real-time speed as the speed of the obstacle in response to determining that the fused static probability is less than the probability threshold. 7. A device for detecting a speed of an obstacle, comprising: one or more processors; a storage device, configured to store one or more programs, wh
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