A speed maintenance instruction is output when a vehicle enters a next intersection and a predetermined condition is satisfied. It is determined whether a forward obstacle is disposed between the vehicle and the next intersection. A possibility of collision with the forward obstacle is determined if the forward obstacle is disposed between the vehicle and the next intersection and the vehicle maintains a current vehicle speed. When the possibility of collision is determined, the speed maintenance instruction is not output even if the predetermined condition is satisfied.

An agricultural vehicle includes: a chassis; at least one adjustable agricultural tool carried by the chassis and configured to function according to at least one operating parameter; and a controller operably coupled to the at least one adjustable agricultural tool. The controller is configured to: generate a user profile that includes at least one operating parameter setting corresponding to the at least one operating parameter; output the user profile to an external device; receive a modified user profile that includes at least one suggested parameter setting corresponding to at least one suggested operating parameter for at the least one adjustable agricultural tool; and cause adjustment of the at least one adjustable agricultural tool so the at least one adjustable agricultural tool functions according to the at least one suggested operating parameter.

A control device associated with an autonomous vehicle detects that an emergency personnel is altering traffic on a road using an emergency-related hand signal to divert the traffic from a road anomaly, such as a road accident. The control device determines an interpretation of the emergency-related hand signal. The control device determines a proposed trajectory for the autonomous vehicle according to the interpretation of the emergency-related hand signal. In certain embodiments, the control device may navigate the autonomous vehicle according to the interpretation of the emergency-related hand signal. In certain embodiments, the control device may transmit the proposed trajectory to an oversight server for confirmation. In certain embodiments, the oversight may confirm or override the proposed trajectory.

A driving lane keeping control system includes a number of vehicles and a server. Each vehicle is configured to transmit wheel position information to the server. The server is configured to receive the wheel position information from each vehicle, to match the wheel position information with a detailed map to generate a moving trajectory of each vehicle, to analyze the generated moving trajectory of each vehicle to select an optimum moving trajectory, to generate virtual lane information based on the selected optimum moving trajectory, and to transmit the generated virtual lane information to at least one of the vehicles to enable the at least one vehicle to correct a driving position based on the virtual lane information.

A system for determining a content of a message used to coordinate interactions among vehicles can include a processing device and a memory. The memory can store a discretization module and a communications module. The discretization module can include instructions that when executed by the processing device cause the processing device to: (1) analyze a critical maneuver trajectory of an ego vehicle and a current trajectory of another vehicle to determine an existence of a critical maneuver situation and (2) produce a discretized representation of a portion of the critical maneuver trajectory of the ego vehicle. A form of the discretized representation can be based on the existence of the critical maneuver situation. The communications module can include instructions that when executed by the processing device cause the processing device to communicate the discretized representation as the content of the message used to coordinate interactions among vehicles.

A lane keeping assist apparatus of a vehicle with a trailer, a system having the same, and a method thereof include a processor to request an advancing vehicle to control partial braking over the trailer of the advancing vehicle based on a lane departure amount of the advancing vehicle when the advancing vehicle departs from a lane.

An autonomous vehicle (AV) computing device including at least one processor may be provided. The at least processor may be programmed to (i) receive a proposed trip including a destination location and a departure time, (ii) determine environmental conditions data based on the destination location and the departure time, (iii) retrieve current software ecosystem data for the AV, (iv) retrieve aggregated data for a plurality of AVs, the aggregated data including a plurality of correlations, each correlation including a) an interaction between at least one software application and at least one environmental condition and b) an adverse performance outcome associated with the interaction, (v) compare the environmental conditions data for the proposed trip and the current software ecosystem data for the AV to the plurality of correlations to identify an adverse performance outcome, and (vi) execute a remedial action to avoid the adverse performance outcome.

A method includes: obtaining environment information detected by a second vehicle, where the second vehicle is a vehicle traveling in a target road section, and the target road section is a road section located in front of a traveling direction of a first vehicle; predicting, based on the environment information detected by the second vehicle, whether the target road section is suitable for automated driving; and if the target road section is unsuitable for automated driving and the first vehicle is currently in an automated driving mode, reminding a driver of the first vehicle to take over a driving control right of the first vehicle, so that the first vehicle is switched from the automated driving mode to a manual driving mode.

The techniques and systems herein enable vehicle positioning for V2V optimization. Specifically, responsive to determining that a quality of a V2V connection between the host vehicle and a target does not satisfy a threshold, a following position of the host vehicle relative to the target and whether the following position is within a predicted null position of the V2V connection and closer to the target than a selected position are determined. The following position is then controlled based on whether the following position is within the predicted null position and whether the following position is closer to the target than the selected position. By controlling the following position based on the quality of the V2V connection and the null position, more-reliable V2V connections may be maintained, thus enabling better performance of downstream operations.

A vehicle control method according to an embodiment includes selecting a target vehicle to share low-level sensor information with based on the low-level sensor information obtained by a host vehicle and information on a structure included in high-definition map information, and receiving low-level sensor information of the structure from the target vehicle to update a sensor data map of the host vehicle, and performing map matching with the high-definition map information through feature points of a road extracted based on the updated sensor data map.