A pedestrian tracking system includes: a buffer or a memory configured to store a trajectory sequence of a pedestrian; a step attention module and a control module. The step attention module iteratively performs a step attention process to predict states of the pedestrian. Each iteration of the step attention process includes the step attention module: learning the stored trajectory sequence to provide time-dependent hidden states, reshaping each of the time-dependent hidden states to provide two-dimensional tensors; condensing the two-dimensional tensors via convolutional networks to provide convolutional sequences; capturing global information of the convolutional sequences to output a set of trajectory patterns represented by a new sequence of tensors; learning time-related patterns in the new sequence and decoding the new sequence to provide one or more of the states of the pedestrian; and modifying the stored trajectory sequence to include the predicted one or more of the states of the pedestrian.

Methods and systems are provided that are effective to generate an alarm for a vehicle. The methods include receiving, by a device, a first sensor value from a first sensor for the vehicle. The methods further include receiving, by the device, a second sensor value from a second sensor for the vehicle. The methods further include retrieving, by the device, an instruction from a memory disposed in the vehicle while the memory is in a write-protected mode. The methods further include evaluating, by the device, the first sensor value and the second sensor value based on the instruction. The methods further include determining, by the device, that the first sensor value is outside a range associated with the first sensor based on the evaluation. The methods further include transforming, by the device, the determination into an alarm.

An autonomous vehicle includes a control system for remotely controlling the same. The autonomous vehicle includes an autonomous driving control apparatus having a processor that is configured to transmit an emergency request message to a control system when an emergency occurs to an emergency patient in the vehicle during autonomous driving, and the autonomous driving control apparatus is configured to direct the autonomous vehicle to follow a path with a shortest estimated required time among a contact path with an ambulance, a contact path with a neighboring vehicle capable of first aid, or a travel path to a hospital depending on remote control of the control system.

Methods and devices for generating data for controlling a Self-Driving Car (SDC) are disclosed. The method includes: (i) acquiring a predicted object trajectory for an object, (ii) acquiring a set of anchor points along the lane for the SDC, (iii) for each one of the set of anchor points, determining a series of future moments in time when the SDC is potentially located at the respective one of the set of anchor points, thereby generating a matrix structure including future position-time pairs, (iv) for each future position-time pair in the matrix structure, using the predicted object trajectory for determining a distance between a closest object to the SDC as if the SDC is located at the respective future position-time pair, and (v) storing the distance between the closest object to the SDC in association with the respective future position-time pair in the matrix structure.

A vehicle, system and method for operating the vehicle is disclose. The system includes a radar system and a processor. The radar system locates a gap between targets in a second lane adjoining a first lane, with the host vehicle residing in the first lane. The processor is configured to determine a viability value of the gap for a lane change, select the gap based on the viability value, align the host vehicle with the selected gap, and merge the host vehicle from the first lane into the selected gap in the second lane.

A storage device includes a first memory device, a second memory device and a storage controller. The first memory device buffers a plurality of unit time interval data. The plurality of unit time interval data are received in each of a plurality of monitoring time intervals. The second memory device stores at least one of the plurality of unit time interval data. The storage controller controls an amount of data flushed from the first memory device to the second memory device based on one of first and second flush commands. The storage controller compares a shock measurement value representing a magnitude of an external shock with a shock reference value. When the shock measurement value is less than or equal to the shock reference value, the storage controller provides the first flush command to the first memory device to flush first unit time interval data.

An autonomous driving controller includes: a processor to collect driving data when a vehicle is traveling and calculate a steering override reference value, which is a criterion of determining an override mode, based on the collected driving data; and a storage to store the collected driving data and a set of instructions executed by the processor to calculate the steering override reference value. In particular, the processor controls autonomous driving by varying the steering override reference value based on the collected driving data or information regarding a driver of the vehicle.

Technologies and techniques for carrying out an assisted lane change onto a deceleration lane, during which an intervention in an acceleration device may be carried out in an at least partially assisted manner as a function of a driver input on a driving lane of the roadway. The lane change from the driving lane onto the deceleration lane may be carried out in an at least partially assisted manner, wherein swarm data are received from at least one further motor vehicle, which carried out a lane change onto the deceleration lane at a crossing, and a change position for the lane change of the motor vehicle is determined as a function of the received crossing position. The lane change is carried out at the determined change position. Other aspects relate to a computer program product and to an assistance system.

A vehicular driver assistance system includes a propulsion selection sensor operable to provide an output representative of a current direction of propulsion of a vehicle. The system, responsive to the output, determines an entry propulsion direction used by the vehicle to enter a parking space. The system stores the determined entry propulsion direction used by the vehicle to enter the parking space. The system, responsive to the vehicle preparing to exit the parking space, determines an exit propulsion direction of the vehicle. The system compares the stored determined entry propulsion direction used by the vehicle to enter the parking space and the exit propulsion direction of the vehicle. The system, responsive to determining that the stored determined entry propulsion direction used by the vehicle to enter the parking space is the same as the exit propulsion direction of the vehicle, provides an alert to a driver of the vehicle.

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.