This application is directed to on-vehicle behavior modeling of vehicles. A vehicle has one or more processors, memory, a plurality of sensors, and a vehicle control system. The vehicle collects training data via the plurality of sensors, and the training data include data for one or more vehicles during a collection period. The vehicle locally applies machine learning to train a vehicle driving behavior model using the collected training data. The vehicle driving behavior model is configured to predict a behavior of one or more vehicles. The vehicle subsequently collecting sensor data from the plurality of sensors and drives the vehicle by applying the vehicle driving behavior model to predict vehicle behavior based on the collected sensor data. The vehicle driving behavior model is configured to predict behavior of an ego vehicle and/or a distinct vehicle that appears near the ego vehicle.

A vehicle can include various sensors to detect objects in an environment. In some cases, the object may be within a planned path of travel of the vehicle. In these cases, leaving the planned path may be dangerous to the passengers so the vehicle may, based on dimensions of the object, dimensions of the vehicle, and semantic information of the object, determine operational parameters associate with passing the object while maintaining a position within the planned path, if possible.

An apparatus for controlling a vehicle includes: a sensor that obtains vehicle surrounding environment information and vehicle driving information; and a controller that determines whether an engagement of an Electronic Parking Brake (EPB) is possible based on the vehicle driving information, performs control for preventing a slip based on the vehicle surrounding environment information upon determining that the engagement of the EPB is impossible, calculates a steering angle for preventing the slip, transmits the steering angle to a portable terminal, receives a steering control command from the portable terminal, and controls steering based on the received steering control command.

A sheet-shaped magnetic marker to be laid on a road surface so as to be able to be detected by a magnetic sensor attached to a vehicle to achieve assist for driving operation of the vehicle by a driver or control on a vehicle side to achieve automatic driving independently from operation of the driver has a magnet sheet (11) as a magnetism generation source and a wireless tag (2) which outputs information via wireless communication to the vehicle side. In the magnetic marker, the wireless tag (2) is interposed between a sheet (11A) and a sheet (11B) configuring the magnet sheet (11), and the entire wireless tag (2) is accommodated inside the magnet sheet (11).

A controller causes a host vehicle to decelerate when a velocity of an oncoming vehicle corresponding to a position of the oncoming vehicle distant from a stationary object by a predetermined distance is greater than or equal to a velocity threshold corresponding to the position of the oncoming vehicle distant from the stationary object by the predetermined distance in a case in which a passing position is present within a predetermined region, and causes the host vehicle to keep the velocity or accelerate when the velocity of the oncoming vehicle corresponding to the position of the oncoming vehicle distant from the stationary object by the predetermined distance is less than the velocity threshold corresponding to the position of the oncoming vehicle distant from the stationary object by the predetermined distance in the case in which the passing position is present within the region.

A method that includes obtaining vehicle sensed environment information by at least one sensor of a vehicle; determining, by an initial location estimate module of the vehicle, an initial location estimate of the vehicle; obtaining, by processor of the vehicle, aerial map segment information related to a segment of an aerial map, the segment comprises an environment of the initial location estimate of the vehicle; determining, based on the vehicle sensed information and on the aerial map segment information, to perform the driving related operation within at least the environment of the initial location estimate of the vehicle; and performing the driving related operation.

Aspects of the disclosure may enable autonomous vehicles to respond to emergency vehicles. For instance, sensor data identifying an emergency vehicle approaching the autonomous vehicle may be received. A predicted trajectory for the emergency vehicle may be received. Whether the autonomous vehicle is impeding the emergency vehicle may be determined based on the predicted trajectory and map information identifying a road on which the autonomous vehicle is currently traveling. Based on a determination that the autonomous vehicle is impeding the emergency vehicle, the autonomous vehicle may be controlled in an autonomous driving mode in order to respond to the emergency vehicle.

An evacuation running assistance system includes a peripheral environment recognizer to recognize at least a space of a road shoulder and a free space as a non-traffic portion, a time limit setter to set a time limit on the own vehicle for continuing evacuation running, and an evacuation place setter to determine at least one of the road shoulder space and the free space recognized by the peripheral environment recognizer as an evacuation place where the own vehicle is evacuated. A situation determiner determines a situation of an own vehicle as being in one of situations in which evacuation running is to be continued, running of an own vehicle is to be stopped on a lane, and road shoulder evacuation is to be performed based on the time limit. A controller controls the own vehicle based on the situation of the own vehicle determined by the situation determiner.

An autonomous vehicle may include an autonomous driving control apparatus including a processor that is configured to request remote control of the autonomous vehicle to a control system when the remote control of the autonomous vehicle is required, and when receiving a driving path stored during a previous remote control of the autonomous vehicle from the control system, follows and controls the received driving path.

A system for providing an alert to an occupant of a vehicle may include one or more processors and a memory. The memory may store a free space detection module, a target detection module, a path prediction module, an activation threshold module, and an alert module. The modules include instructions that cause the one or more processors to determine one or more dimensions of a free space located adjacent to a side of the vehicle, determine one or more dimensions of one or more targets, determine one or more predicted paths of one or more targets, selectively adjust an activation threshold for providing an alert according to the one or more predicted paths, and activate the alert to inform the occupant of a hazard associated with the one or more targets according to whether the one or more predicted paths satisfies the activation threshold.