公开(公告)号：US20190212453A1

公开(公告)日：2019-07-11

申请号：US16145226

申请日：2018-09-28

Applicant: Intel Corporation

Inventor： Koba NATROSHVILI ,  Kay-Ulrich SCHOLL

IPC: G01S17/93 ,  G01S17/58 ,  G01S17/89 ,  G08G1/16 ,  G06N3/04 ,  G01S17/08

CPC classification number: G01S17/936 ,  G01S17/023 ,  G01S17/08 ,  G01S17/58 ,  G01S17/89 ,  G06N3/04 ,  G06N3/08 ,  G08G1/165 ,  G08G1/166

Abstract: According to various examples, a vehicle controller is described comprising a determiner configured to determine information about surroundings of a vehicle, the information about the surroundings comprising information about velocities of objects in the surroundings of the vehicle and a velocity controller configured to input the information about the surroundings of the vehicle and a specification of a path of the vehicle to a convolutional neural network, to determine a target velocity of the vehicle along the path based on an output of the convolutional neural network and to control the vehicle according to the determined target velocity.

公开(公告)号：US20200278689A1

公开(公告)日：2020-09-03

申请号：US16649584

申请日：2017-12-20

Applicant: Intel Corporation

Inventor： Andrew LARSON ,  Subhas BALAPPANAVAR ,  Daniel POHL ,  Koba NATROSHVILI ,  Cornelius BUERKLE ,  Ellann COHEN ,  Andreas HERDEN ,  Ralph V. MIELE ,  David PIDWERBECKI ,  Roman SCHICK ,  Henning SCHROEDER ,  Mark E. SPRENGER

IPC: G05D1/02 ,  G08G5/00 ,  H04N13/243 ,  H04N5/225 ,  H04N5/247 ,  H04N5/76 ,  B64C39/02 ,  B64D47/08

Abstract: Autonomous unmanned vehicles (UVs) for responding to situations are described. Embodiments include UVs that launch upon detection of a situation, operate in the area of the situation, and collect and send information about the situation. The UVs may launch from a vehicle involved in the situation, a vehicle responding to the situation, or from a fixed station. In other embodiments, the UVs also provide communications relays to the situation and may facilitate access to the situation by responders. The UVs further may act as decoupled sensors for vehicles. In still other embodiments, the collected information may be used to recreate the situation as it happened.

公开(公告)号：US20190188862A1

公开(公告)日：2019-06-20

申请号：US16285253

申请日：2019-02-26

Applicant: Intel Corporation

Inventor： Koba NATROSHVILI

IPC: G06T7/20 ,  G06T7/50 ,  G06K9/62 ,  G06K9/00

CPC classification number: G06T7/20 ,  G06K9/00805 ,  G06K9/623 ,  G06K9/6261 ,  G06K9/6267 ,  G06K9/6289 ,  G06T7/50 ,  G06T2207/10028 ,  G06T2207/10044 ,  G06T2207/20076 ,  G06T2207/20084 ,  G06T2207/30261

Abstract: A perception device, including at least one image sensor configured to detect a plurality of images; an information estimator configured to estimate from each image of the plurality of images a depth estimate, a velocity estimate, an object classification estimate and an odometry estimate; a particle generator configured to generate a plurality of particles, wherein each particle of the plurality of particles comprises a position value determined from the depth estimate, a velocity value determined from the velocity estimate and a classification value determined from the classification estimate; an occupancy hypothesis determiner configured to determine an occupancy hypothesis of a predetermined region, wherein each particle of the plurality of particles contributes to the determination of the occupancy hypothesis.

公开(公告)号：US20190050653A1

公开(公告)日：2019-02-14

申请号：US16145315

申请日：2018-09-28

Applicant: Intel Corporation

Inventor： Koba NATROSHVILI

IPC: G06K9/00 ,  G06K9/32 ,  G06T7/521 ,  G01S17/02 ,  G01N15/02 ,  G06T7/20 ,  G06K9/62 ,  G06N3/08

Abstract: A perception device, including at least one image sensor configured to detect a plurality of images; an information estimator configured to estimate from each image of the plurality of images a depth estimate, a velocity estimate, an object classification estimate and an odometry estimate; a particle generator configured to generate a plurality of particles, wherein each particle of the plurality of particles comprises a position value determined from the depth estimate, a velocity value determined from the velocity estimate and a classification value determined from the classification estimate; an occupancy hypothesis determiner configured to determine an occupancy hypothesis of a predetermined region, wherein each particle of the plurality of particles contributes to the determination of the occupancy hypothesis.