Abstract

The present disclosure is related to systems and methods for open-surface navigation for a vehicle based on a time-space map. The method includes determining a time-space map of a first area. The time-space map may include a plurality of time-space grids. Each time-space grid may include temporal information and geographic information corresponding to the time-space grid. The method also includes obtaining obstacle status of each of one or more obstacles corresponding to a first time period. The method also includes determining a plurality of navigable grids and a plurality of unnavigable grids among the plurality of time-space grids, based on the obstacle status. The method further includes determining a path for the vehicle based on the plurality of navigable grids.

IPC Classes  ?

• G01C 21/20 - Instruments for performing navigational calculations

Abstract

The present disclosure relates to systems and methods for determining a driving action in autonomous driving. The systems may obtain driving information associated with a vehicle; determine a state of the vehicle; determine one or more candidate driving actions and one or more evaluation values corresponding to the one or more candidate driving actions based on the driving information and the state of the vehicle by using a trained driving-action model; select a target driving action from the one or more candidate driving actions based on the one or more evaluation values; determine a target driving path based on the target driving action; and send signals to a control component of the vehicle to direct the vehicle to take the target driving action to follow the target driving path.

IPC Classes  ?

• B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
• B60W 30/10 - Path keeping
• B60W 40/04 - Traffic conditions
• B60W 40/06 - Road conditions

Abstract

The present disclosure relates to systems and methods for autonomous driving. The systems may obtain driving information associated with a vehicle; determine a state of the vehicle; determine one or more candidate control signals and one or more evaluation values corresponding to the one or more candidate control signals based on the driving information and the state of the vehicle by using a trained control model; select a target control signal from the one or more candidate control signals based on the one or more evaluation values; and transmit the target control signal to a control component of the vehicle.

IPC Classes  ?

• B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
• B60W 30/10 - Path keeping
• B60W 40/04 - Traffic conditions
• B60W 40/06 - Road conditions

Abstract

Systems and methods for identifying and positioning one or more objects around a vehicle are provided. The method may include obtaining a first light detection and ranging (LiDAR) point cloud image around a detection base station. The method may further include identifying one or more objects in the first LiDAR point cloud image and determining one or more locations of the one or more objects in the first LiDAR point image. The method may further include generating a 3D shape for each of the one or more objects; and generating a second LiDAR point cloud image by marking the one or more objects in the first LiDAR point cloud image based on the locations and the 3D shapes of the one or more objects.

IPC Classes  ?

• G01S 17/93 - Lidar systems, specially adapted for specific applications for anti-collision purposes
• B60R 11/04 - Mounting of cameras operative during drive; Arrangement of controls thereof relative to the vehicle
• B60W 30/08 - Predicting or avoiding probable or impending collision
• B60W 30/10 - Path keeping
• G01S 13/86 - Combinations of radar systems with non-radar systems, e.g. sonar, direction finder

Abstract

The present disclosure relates to systems and methods for determining a driving path in autonomous driving. The systems may obtain a plurality of candidate driving paths; obtain one or more coefficients associated with the plurality of candidate driving paths based on a trained coefficient-generating model; determine a travel cost for each of the plurality of candidate driving paths based on the on one or more coefficients; and identify a target driving path from the plurality of candidate driving paths based on a plurality of travel costs corresponding to the plurality of candidate driving paths.

IPC Classes  ?

• B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
• B60W 30/10 - Path keeping

Abstract

A system for detecting a surrounding object may receive, from a camera, a first image including a plurality of pixels relating to one or more objects and receive, from one or more LiDARs, a first point set including a plurality of points corresponding to the plurality of pixels. The system may also, based on the first point set, determine 3D coordinates and reflection intensities of the plurality of points, based on which the system may generate a segment result by classifying the plurality of points. The system may further transform the 3D coordinates of the plurality of points into 2D coordinates and determine an object type of the one or more objects based on the 2D coordinates, the 3D coordinates, the segment result, and the first image.

IPC Classes  ?

• G01S 17/86 - Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
• B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
• B60W 30/08 - Predicting or avoiding probable or impending collision
• G01S 17/87 - Combinations of systems using electromagnetic waves other than radio waves
• G01S 17/93 - Lidar systems, specially adapted for specific applications for anti-collision purposes

Abstract

Systems and methods for trajectory determination are provided. The systems perform the operations including obtaining status information of a vehicle; determining one or more original trajectories from a current location of the vehicle to a destination based on the status information of the vehicle; determining one or more candidate trajectories from the original trajectories; and determining a target trajectory from the candidate trajectories based on a trajectory evaluation model.

IPC Classes  ?

• G01C 21/00 - Navigation; Navigational instruments not provided for in groups
• G01S 19/39 - Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO

Abstract

The present disclosure relates to electronic system and methods for switching a driving mode of a vehicle. The electronic system may include at least one sensor configured to connect to a driving system of a vehicle; at least one gateway module connected to the at least one sensor through a controller area network; and processing circuits connected to the at least one gateway module. During operation, the processing circuits may receive at least one trigger signal from the at least one sensor; determine that the at least one trigger signal meets a predetermined condition; and send at least one switching signal to the gateway module to switch the vehicle from a current driving mode to a target driving mode.

IPC Classes  ?

• B60W 30/00 - Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
• B60W 50/00 - CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT - Details of control systems for road vehicle drive control not related to the control of a particular sub-unit