An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statutes for performing safe driving operation. Example embodiments relate to an autonomous vehicle having a trailer coupled to a rear thereof. An example method includes continuously predicting a trailer trajectory that is distinct from a planned trajectory of the autonomous vehicle. The method further includes determining that the predicted trailer trajectory is within a minimum avoidance distance away from a stationary vehicle located on a roadway on which the autonomous vehicle is located. The method further includes modifying the planned trajectory of the autonomous vehicle such that the predicted trailer trajectory satisfies the minimum avoidance distance. The method further includes causing the autonomous vehicle to navigate along the modified trajectory based on transmitting instructions to one or more subsystems of the autonomous vehicle.

A control device for controlling autonomous driving of a vehicle, the control device includes a processor and a memory storing instructions. The instructions, when executed by the processor, cause the control device to perform operations including: switching a control content in the autonomous driving of the vehicle based on a position of the vehicle.

An electrified fire fighting vehicle includes a chassis, a cab coupled to the chassis, a body coupled to the chassis, a pump system, and a driveline. The driveline includes a front axle coupled to the chassis, a rear axle coupled to the chassis, an energy storage system, an engine coupled to the chassis, and an electromechanical device coupled to the chassis, the engine, and at least one of the front axle or the rear axle. The driveline is a dual drive driveline such that, during any and all modes of operation of the driveline, the electromechanical device is incapable of or prevented from charging the energy storage system at any time when driven by the engine.

A driverless vehicle system comprises a processor that is configured to communicate information related to attributes of a focus autonomous vehicle (FAV) to an other peer vehicle (PV) and/or a central repository system (CRS). The processor is further configured to communicate information about a corrective action by at least one of the FAV and a previously contacted vehicle to the CRS or to a further peer vehicle that is within a predefined region.

A travel control method comprises: detecting a travelable road area of the road area in which the subject vehicle can travel; generating a potential field in a space of the travelable road area in which a potential value of a left-side boundary line and a right-side boundary line are set to different values from each other; calculating a travelable road area width by applying the Potential Method; comparing the difference between a lateral position of a travel route set on the basis of the calculated travelable road area width and a lateral position of the travel route set in advance in the travelable road area on the basis of the left-side boundary line or the right-side boundary line; correcting the potential value; regenerating the potential field set to the corrected potential value; generating the travel route applying the Potential Method to the regenerated potential field; executing autonomous travel control.

This document describes techniques and systems to indirectly verify speed limits based on contextual information for autonomous and semi-autonomous driving systems. In addition to camera systems, the described techniques and systems use other sensors and secondary factors to improve the accuracy and confidence in detecting posted speed limits. For example, a camera system captures an image or other data directly indicative of a speed limit. Contextual information for the road or vehicles nearby is also obtained and used to determine at least one indirect indication of the speed limit. A composite speed limit is identified by applying a respective weight to the direct and indirect indications of the speed limit. The described systems and techniques thereby enable controlling the vehicle based on the composite speed limit. In this way, the described systems and techniques can verify a speed limit to make autonomous and semi-autonomous driving systems safer.

The control device of a vehicle includes a position estimating part configured to estimate a position of the vehicle, and a power output part configured to control the internal combustion engine and the electric motor to output power for running use. The power output part is configured to determine a startup position of the internal combustion engine of the vehicle when the vehicle exits from a low emission zone requesting the internal combustion engine be stopped so that startup positions of internal combustion engines of a plurality of vehicles are dispersed at surroundings of the low emission zone.

The control device of a vehicle includes a position estimating part configured to estimate a position of the vehicle, and a power output part configured to control the internal combustion engine and the electric motor to output power for running use. The power output part is configured to determine a startup position of the internal combustion engine of the vehicle when the vehicle exits from a low emission zone requesting the internal combustion engine be stopped so that startup positions of internal combustion engines of a plurality of vehicles are dispersed at surroundings of the low emission zone.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statutes for performing safe driving operation. An example method includes detecting that a group of motorcycles is operating on a roadway on which the AV is located. The group of motorcycles are each located within a pre-determined distance away from one another. The method further includes determining an aggregate footprint area that surrounds respective locations of the group of motorcycles. The method further includes causing navigation of the autonomous vehicle that avoids penetration of the aggregate footprint area based on transmitting navigation instructions to one or more subsystems of the autonomous vehicle.

An example method includes detecting, via sensor data collected from sensors located on the AV, an upcoming object located on a roadway. The method further includes determining, from the sensor data, a relative distance and a relative direction of the upcoming object with respect to the autonomous vehicle. The method further includes mapping the upcoming object to an absolute location with respect to the roadway based on map data that describes upcoming topology of the roadway and a location of the autonomous vehicle. The method further includes associating the upcoming object with a lane of the roadway based on the absolute location mapped to the upcoming object and based on lane geometry data for the roadway. The method further includes operating the autonomous vehicle based on a relationship between the lane associated with the upcoming object and a current lane in which the autonomous vehicle is located.