公开(公告)号：US20250095383A1

公开(公告)日：2025-03-20

申请号：US18370829

申请日：2023-09-20

Applicant: TORC Robotics, Inc.

Inventor： Daniel MOODIE ,  Siddartha Yeliyur Shivakumara SWAMY ,  Indrajeet Kumar MISHRA ,  Christopher DUSOLD ,  Cody MCCLINTOCK ,  Ruifang WANG

IPC: G06V20/56 ,  G06V10/26 ,  G06V10/75 ,  G06V20/64

Abstract: Embodiments herein include an automated vehicle performing for identifying vehicles and lanes in roadway by an autonomy system of an automated vehicle. The autonomy system gathers image inputs from cameras or other sensors. The autonomy system assigns index values to the driving lanes and shoulder lanes, and then assigns the index values to the vehicles. The autonomy system generates data segments from the image data, corresponding to creating segments of an image, such that a single image is segmented for portions of the image, such as segmented outputs of each lane line or segmented outputs of portions of the vehicle. The autonomy system compares the segmented portions of the image to detect that a lane contains a vehicle.

公开(公告)号：US20250095385A1

公开(公告)日：2025-03-20

申请号：US18370832

申请日：2023-09-20

Applicant: TORC Robotics, Inc.

Inventor： Daniel MOODIE ,  Siddartha Yeliyur Shivakumara SWAMY ,  Indrajeet Kumar MISHRA ,  Christopher DUSOLD ,  Cody MCCLINTOCK ,  Ruifang WANG

IPC: G06V20/56 ,  G06V20/58 ,  G06V20/70

Abstract: Embodiments herein include an automated vehicle performing for identifying vehicles and lanes in roadway by an autonomy system of an automated vehicle. The autonomy system gathers image inputs from cameras or other sensors. The autonomy system assigns index values to the driving lanes and shoulder lanes, and then assigns the index values to the vehicles. The autonomy system generates data segments from the image data, corresponding to creating segments of an image, such that a single image is segmented for portions of the image, such as segmented outputs of each lane line or segmented outputs of portions of the vehicle. The autonomy system compares the segmented portions of the image to detect that a lane contains a vehicle.

公开(公告)号：US20250095384A1

公开(公告)日：2025-03-20

申请号：US18370830

申请日：2023-09-20

Applicant: TORC Robotics, Inc.

Inventor： Daniel MOODIE ,  Siddartha Yeliyur Shivakumara SWAMY ,  Indrajeet Kumar MISHRA ,  Christopher DUSOLD ,  Cody MCCLINTOCK ,  Ruifang WANG

IPC: G06V20/56 ,  G06V20/58 ,  G06V20/70

Abstract: Embodiments herein include an automated vehicle performing for identifying vehicles and lanes in roadway by an autonomy system of an automated vehicle. The autonomy system gathers image inputs from cameras or other sensors. The autonomy system assigns index values to the driving lanes and shoulder lanes, and then assigns the index values to the vehicles. The autonomy system generates data segments from the image data, corresponding to creating segments of an image, such that a single image is segmented for portions of the image, such as segmented outputs of each lane line or segmented outputs of portions of the vehicle. The autonomy system compares the segmented portions of the image to detect that a lane contains a vehicle.

公开(公告)号：US20240371178A1

公开(公告)日：2024-11-07

申请号：US18311612

申请日：2023-05-03

Applicant: TORC Robotics, Inc.

Inventor： John HUTCHINSON ,  Indrajeet Kumar MISHRA ,  Rasika KANGUTKAR ,  Scott SCHLACTER

IPC: G06V20/58 ,  G06V10/764 ,  G08G1/0967

Abstract: Embodiments include systems and methods for determining states of traffic lights and managing behavior of an automated vehicle approaching an intersection. An autonomy system applies an object recognition engine trained to recognize a traffic light, and identify and confirm the state of the traffic light. A first neural network trained for object detection recognizes a traffic light and defines a bounding box around the recognized traffic light. A second neural network receives the region of the image bounded by the box as constituting the traffic light and “reads” the light. The automated vehicle uses other information, such as states of pedestrian traffic lights, detection of objects in and near the intersection, and glare on one or more cameras, to supplement its determination of the right of way through the intersection. The autonomy system generates a driving instruction based on the traffic light combined.