公开(公告)号：US20250021099A1

公开(公告)日：2025-01-16

申请号：US18222387

申请日：2023-07-14

Applicant: TORC Robotics, Inc.

Inventor： Wade FOSTER ,  Ryan CHILTON ,  Karan Vivek BHARGAVA ,  Gowtham Raj Gunaseela UDAYAKUMAR ,  Harish PULLAGURLA ,  Jason HARPER ,  Zachary MILLER

IPC: G05D1/02 ,  H04W4/02 ,  H04W4/029

Abstract: A method comprises monitoring, by a processor, using a sensor of a first vehicle, data associated with a retroreflective feature near a road being driven by the first vehicle; vectorizing, by the processor, the data associated with the retroreflective feature; generating, by the processor, a digital map including vectorized data associated with the retroreflective feature and a location associated with the retroreflective feature; receiving, by the processor, data associated with the retroreflective feature from a second vehicle; and executing, by the processor, a localization protocol to identify a location of the second vehicle using the digital map.

公开(公告)号：US20250018953A1

公开(公告)日：2025-01-16

申请号：US18222384

申请日：2023-07-14

Applicant: TORC Robotics, Inc.

Inventor： Harish PULLAGURLA ,  Zachary MILLER ,  Andrew CUNNINGHAM

IPC: B60W40/076 ,  B60W60/00

Abstract: Systems and methods of predicting a grade of a road upon which a vehicle is traveling are disclosed. An autonomous vehicle system can receive sensor data from a sensor measuring a response from at least one mechanical component of the autonomous vehicle as the autonomous vehicle navigates a road; detect a speed of the autonomous vehicle; determine a predicted grade of the road based on the sensor data and the speed; and navigate the autonomous vehicle based on the predicted grade of the road.

公开(公告)号：US20250052581A1

公开(公告)日：2025-02-13

申请号：US18448846

申请日：2023-08-11

Applicant: TORC Robotics, Inc.

Inventor： Wade FOSTER ,  Ryan CHILTON ,  Karan Vivek BHARGAVA ,  Harish PULLAGURLA ,  Zachary MILLER ,  Gowtham Raj Gunaseela UDAYAKUMAR ,  Jason HARPER

IPC: G01C21/30 ,  B60W50/00 ,  B60W60/00

Abstract: A method comprises receiving a first set of data associated with a plurality of retroreflective features from a vehicle; retrieving a digital map comprising vectorized data associated with the plurality of retroreflective features and a location associated with the plurality of retroreflective features, the map previously generated based on monitoring a second set of data retrieved from a sensor of a second vehicle where the second set of data is associated with the plurality of retroreflective features near a road being driven by the second vehicle; generating a score for each retroreflective feature indicating a match between each retroreflective feature as indicated within the digital map and a location of each retroreflective feature as identified within the first set of data; and localizing the vehicle.