An electronic apparatus for an emergency control is provided. The electronic apparatus controls a human machine interface associated with a first vehicle to display a first user-selectable element. The electronic apparatus receives a first input, which corresponds to a first selection of the first user-selectable element. The first selection indicates a request to enable an emergency mode. The electronic apparatus activates a timer, which is associated with the electronic apparatus, for a pre-determined time period based on the first input. The electronic apparatus establishes a first communication with an emergency device associated with the first vehicle for the emergency mode, based on an expiration of the timer. The electronic apparatus deactivates a second user-selectable element on the human machine interface based on the first communication. The electronic apparatus receives one or more control instructions for the first vehicle from the emergency device based on the first communication.

Disclosed are an autonomous vehicle and a driving control system and method using the same. The method of controlling driving a vehicle according to an embodiment of the present invention includes searching for a section occupied by a section service provider in a driving route to a destination; determining whether the vehicle is a subscriber vehicle registered in a section service provided by the section service provider. When the subscriber vehicle drives a section occupied by the section service provider, the subscriber vehicle has a priority in a driving speed, compared to a non-subscriber vehicle. At least one of an autonomous vehicle, a user terminal, and a server of the present invention may be connected to or fused with an Artificial Intelligence (AI) module, a drone (Unmanned Aerial Vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, and a device related to a 5G service.

A method for controlling autonomous lane change of a moving body is disclosed. The method includes calculating a driving route from a current location of the moving body to a destination; determining whether an intersection or a forked road exists at a predetermined distance from the current location of the moving body on the calculated driving route; checking, when the intersection or the forked road exists, link information corresponding to a lane in which the moving body is located, and determining a moving direction toward the intersection or the forked road; determining an entry route for entering the intersection or the forked road according to the determined moving direction; and generating a control signal for controlling a moving direction of the moving body according to the determined entry route.

Disclosed are a driving processing method, a vehicle (300), a mobile terminal (700), a server (400), a driving system and a computer-readable storage medium. The driving processing method comprises: receiving regional driving information, wherein the regional driving information comprises driving information of all vehicles within a preconfigured driving range (S120); and displaying a vehicle distribution map according to the regional driving information, wherein the vehicle distribution map comprises a positional relationship between all the vehicles within the preconfigured driving range (S130).

A sleepiness estimating device includes a biometric information acquirer that acquires biometric information of a person, an auxiliary information acquirer that acquires auxiliary information including at least one of five-sense information perceived by the person or emotion information indicating an emotion of the person, and a sleepiness estimator that estimates a sleepiness of the person based on the biometric information and the auxiliary information.

A car and a method for detecting a road condition and warning a following vehicle are provided. The car includes a vehicle body, a road condition detection unit, a processing unit, and a display unit. The road condition detection unit is disposed on the vehicle body. The road condition detection unit is configured to detect the road condition in front of the vehicle body and generate a road condition signal. The processing unit is disposed on the vehicle body and configured to generate a display signal after receiving the road condition signal. The display unit is disposed on a rear windshield of the vehicle body and configured to generate a warning image after receiving the display signal, so as to warn a driver of the following vehicle of the road condition in front of the vehicle body.

Systems and methods for driving trajectory planning of an automated vehicle. The system includes an electronic processor configured to determine a lane segment graph indicating allowable transitions between a plurality of lane segments. The electronic processor is also configured to determine a current type of traffic flow situation. The electronic processor is further configured to determine weighting factors for each of the allowable transitions based on aggregate observations of previous real-world traffic flow transitions for the current type of traffic flow situation. Each of the weighting factors indicate a likelihood of transition for a respective one of the allowable transitions. The electronic processor is also configured to determine a weighted lane segment graph based at least in part on the weighting factors. The electronic processor is further configured to determine a driving trajectory of the automated vehicle based at least in part on the weighted lane segment graph.

A driving control system can apply driving actions such as automatically controlling driving systems (e.g., cruise control, headlights, radio volume, in-vehicle infotainment (IVI) displays, etc.) or providing notifications to the driver or third parties. The driving control system can obtain current driving requirements such as an explicit speed limit, an inferred reduced speed, conditions for heightened driver focus, a headlight requirement, etc. The driving control system can compare the current driving requirements with current driving conditions, such as a current speed, headlight indicators, radio or IVI status, etc. to determine a mismatch. Any such mismatches can be indexed into a mapping of mismatches to driving actions, and if the mismatch is mapped to a driving action, the driving action can be taken.

This disclosure relates to a system and method for determining vehicle operator preparedness for vehicles that support both autonomous operation and manual operation. The system includes sensors configured to generate output signals conveying information related to vehicles and their operation. During autonomous vehicle operation, the system gauges the level of responsiveness of an individual vehicle operator through challenges and corresponding responses. Based on the level of responsiveness, a preparedness metric is determined for each vehicle operator individually.

According to one aspect, systems and techniques for lane selection may include receiving a current state of an ego vehicle and a traffic participant vehicle, and a goal position, projecting the ego vehicle and the traffic participant vehicle onto a graph network, where nodes of the graph network may be indicative of discretized space within an operating environment, determining a current node for the ego vehicle within the graph network, and determining a subsequent node for the ego vehicle based on identifying adjacent nodes which may be adjacent to the current node, calculating travel times associated with each of the adjacent nodes, calculating step costs associated with each of the adjacent nodes, calculating heuristic costs associated with each of the adjacent nodes, and predicting a position of the traffic participant vehicle.