公开(公告)号：US20230065647A1

公开(公告)日：2023-03-02

申请号：US17822735

申请日：2022-08-26

Applicant: TUSIMPLE, INC.

Inventor： Scott Douglas FOSTER ,  Neil M. OVERMON ,  Erik Orlando PORTILLO ,  Zhujia SHI ,  Joyce TAM ,  Mohammad POORSARTEP ,  Christopher MILLER ,  Pengji DUAN ,  Lingting GE ,  Navid SARMADNIA ,  Panqu PANQU WANG ,  Zhe HUANG

IPC: G08G1/0965 ,  G08G1/0967 ,  G01S15/58 ,  G01S15/931 ,  G06V20/58 ,  G06N3/08

Abstract: An autonomous vehicle includes audio sensors configured to detect audio in an environment around the autonomous vehicle and to generate audio signals based on the detected audio. A processor in the autonomous vehicle receives the audio signals and compares a time domain or frequency domain representation of the audio signals to a corresponding representation of a known emergency vehicle siren. The comparison causes the processor to output a first determination indicating whether the audio signals are indicative of an emergency vehicle siren. The processor also applies a trained neural network to the audio signals that causes the processor to output a second determination indicating whether the audio signals are indicative of the emergency vehicle siren. If the first determination or the second determination indicates presence of an emergency vehicle siren in the environment around the autonomous vehicle, the autonomous vehicle is caused to perform an action.

公开(公告)号：US20230343214A1

公开(公告)日：2023-10-26

申请号：US18303683

申请日：2023-04-20

Applicant: TUSIMPLE, INC.

Inventor： Ali Reza ABBASPOUR ,  Navid SARMADNIA

IPC: G08G1/0967 ,  B60W60/00 ,  G06F18/2415

CPC classification number: G08G1/096725 ,  G08G1/096791 ,  B60W60/0027 ,  G06F18/2415 ,  B60W2556/65 ,  B60W2554/402 ,  B60W2420/54 ,  B60W2420/40 ,  B60W2554/4046

Abstract: An autonomous vehicle detects an approaching emergency vehicle by performing a plurality of types of analysis of signals output by sensors in the vehicle. Each type of analysis generates a different prediction that indicates a likelihood of a proximity of an emergency vehicle to the autonomous vehicle. The predictions are processed and fused to generate a determination that indicates whether an emergency vehicle is proximate to the autonomous vehicle. In response to the determination indicating the emergency vehicle is proximate, the autonomous vehicle performs an action.