公开(公告)号：US20180336421A1

公开(公告)日：2018-11-22

申请号：US15598727

申请日：2017-05-18

Applicant: TuSimple

Inventor： Zehua HUANG ,  Pengfei CHEN ,  Panqu WANG ,  Ke XU

IPC: G06K9/00 ,  G06T7/11 ,  G05D1/02

Abstract: A system and method for image localization based on semantic segmentation are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on an autonomous vehicle; performing semantic segmentation or other object detection on the received image data to identify and label objects in the image data and produce semantic label image data; identifying extraneous objects in the semantic label image data; removing the extraneous objects from the semantic label image data; comparing the semantic label image data to a baseline semantic label map; and determining a vehicle location of the autonomous vehicle based on information in a matching baseline semantic label map.

公开(公告)号：US20180290660A1

公开(公告)日：2018-10-11

申请号：US15482624

申请日：2017-04-07

Applicant: TuSimple

Inventor： Zehua HUANG ,  Panqu WANG ,  Pengfei CHEN

IPC: B60W40/08 ,  B60W50/08 ,  G06K9/00

Abstract: A system and method for transitioning between an autonomous and manual driving mode based on detection of a driver's capacity to control a vehicle are disclosed. A particular embodiment includes: receiving sensor data related to a vehicle driver's capacity to take manual control of an autonomous vehicle; determining, based on the sensor data, if the driver has the capacity to take manual control of the autonomous vehicle, the determining including prompting the driver to perform an action or provide an input; and outputting a vehicle control transition signal to a vehicle subsystem to cause the vehicle subsystem to take action based on the driver's capacity to take manual control of the autonomous vehicle.