Gm Cruise Holdings LLC

Eugene Lo

Juan Fasola

Shreyans Kushwaha

Xiaoyu Zhou

Srishti Iyer Koduvayur

Chia-Wei Lin

Systems and methods for collision imminent detection are provided. A method includes collecting sensor data generated by one or more sensors of a vehicle; detecting, by a fallback control system of the vehicle based on the sensor data, an imminent collision between the vehicle and an object in an environment of the vehicle using a first process different from a second process of a primary control system of the vehicle, wherein the first process and the second process are associated with at least one of a perception or a prediction; and transmitting, by the fallback control system to the primary control system, an indication of the detected imminent collision.

Collision imminent detection

Systems and methods for a vehicle to use a fallback control system orthogonal to a primary control system are provided. A method includes collecting, by a fallback control system of a vehicle, sensor data generated by one or more sensors of the vehicle; determining, by the fallback control system using a first process different from a second process of a primary control system of the vehicle, an alternative action for the vehicle based on the sensor data; and sending, by the fallback control system based on the alternative action, an instruction for modifying an action associated with the primary control system upon a faulty condition associated with the primary control system.

Secondary fallback software stack for autonomous vehicle

A method is described and includes receiving an indication that a collision between a vehicle and an object is predicted; processing first sensor data obtained from a first onboard sensor of the vehicle to determine whether an actual occurrence of the predicted collision can be confirmed from the first sensor data and if not, processing second sensor data obtained from a second onboard sensor of the vehicle to determine whether the actual occurrence of the predicted collision can be confirmed from the second sensor data. If the actual occurrence of the predicted collision is confirmed from one of the first sensor data and the second sensor data, determining a severity of the collision based on the indication and the one of the first sensor data and the second sensor data; and prompting an action to be based on the determined severity of the collision.

Collision detection system for autonomous vehicle

The disclosed technology provides solutions for updating high definition maps based on low resolution map assets. In some aspects, a process of receiving a change detection relating to a change in the real world is provided. The process can include steps for receiving autonomous vehicle drive data based on the change in the real world, generating low resolution tile data based on the autonomous vehicle drive data based on the change in the real world, generating updated semantic data based on the low resolution tile data generated, and providing the updated semantic data to an autonomous vehicle to update a proximate area of the change in the real world of a base map of the autonomous vehicle. Systems and machine-readable media are also provided.

High definition map updates using assets generated by an autonomous vehicle fleet

A method is described and includes receiving a frame of point cloud data from at least one onboard light detection and ranging (LIDAR) sensor of a vehicle; discarding points of the received frame of point cloud data that are outside a defined geographic area around the vehicle; and, subsequent to the discarding, performing ray tracing in connection with the remaining points of the received frame of point cloud data. The method may further include characterizing an occupancy condition of each of a plurality of cells of a three-dimensional (3D) grid corresponding to the defined geographic area based on the ray tracing of the received frame of point cloud data, wherein the 3D grid corresponds to the received frame of point cloud data.

Growing community of inventors

Redwood City, CA, United States of America

Eugene Lo