A vehicular hazard mitigation system includes one or more processors and a memory communicably coupled to the processors. The memory may store a vehicular hazard mitigation module including computer-readable instructions that when executed by the processors cause the processors to determine a base vehicle currently driving in an enhanced response driving mode. After determining the base vehicle, at least one alert zone of the base vehicle is determined. A determination is then made as to whether at least one other vehicle is currently in the at least one alert zone of the base vehicle. If at least one other vehicle is currently in the at least one alert zone of the base vehicle, the vehicular hazard mitigation module may autonomously control operation of the base vehicle to shift the driving mode of the base vehicle from the enhanced response driving mode to a non-enhanced response driving mode.

Systems and methods of traffic light detection/perception are provided for detecting traffic lights states and/or transitions for different traffic light layouts. Basic traffic light information can be obtained regarding, e.g., the existence of a traffic light(s) at an intersection being approached by a vehicle, and which bulb(s) may apply to/control a particular lane of traffic at the intersection. Based on that information, bulb-specific or bulbwise detection can be performed. Upon determining the existence of a traffic light, specific bulbs within or making up the traffic light can be detected, and their various states can be predicted or estimated relative to a corresponding bulb group. The various states can then be simplified and output as a message(s) upon which autonomous control of a vehicle can be based.

The invention relates to a method for locating a vehicle (1) in a surrounding area, comprising the following steps: providing a primary sensor system (2, 34, 41, 52); providing a secondary sensor system (4, 35, 44, 56), the secondary system being configured in such a manner as to provide a backup to the primary system, the primary sensor system and the secondary sensor system being configured in such a manner as to completely control the vehicle; detecting environment data by means of the primary sensor system and the secondary sensor system; creating maps of the surroundings from the environment data from the primary sensor system and the secondary sensor system by means of a computer system; transferring the maps of the surroundings created from the primary sensor system and the maps of the surroundings created from the secondary sensor system to the computer system; generating at least one plausibility-checked primary sensor system sub-map and at least one plausibility-checked secondary sensor system sub-map by means of the computer system; transferring the plausibility-checked primary sensor system sub-map to the primary sensor system and transferring the plausibility-checked secondary sensor system sub-map to the secondary sensor system; locating the vehicle in the surrounding area by matching the environment data from the primary sensor system with the plausibility-checked primary sensor system sub-map and by matching the environment data from the secondary sensor system with the plausibility-checked secondary sensor system sub-map; comparing the location of the vehicle determined by the primary sensor system with the location of the vehicle determined by the secondary sensor system.

At least one processor of a vehicle is configured to execute at least one program to: generate a speed plan for a first travel route from a blind spot elimination position to a position specified by a control standby condition, the speed plan specifying a speed of the vehicle for a position on the first travel route so as to meet a requirement that the vehicle be decelerated at a predetermined allowable deceleration or less for a predetermined time from the blind spot elimination position to satisfy the control standby condition; and instruct, for a second travel route from a current position of the vehicle to the blind spot elimination position, the vehicle to travel along the second travel route by autonomous driving so as to cause the vehicle to reach a speed specified by the speed plan at the blind spot elimination position.

An in-vehicle device includes a travel planning portion configured to plan, as a travel plan, at least positioning of a vehicle during traveling according to a driving policy; and a verification portion that is configured to: evaluate the travel plan set by the travel planning portion based on driving rule determination information in conformity with a traffic rule; and determine whether to permit the travel plan based on an evaluation result. The travel planning portion is configured to plan positioning of the vehicle according to the driving policy that is set to reduce a frequency of occurrence of a blind area entry situation under which a different vehicle other than the vehicle causes a moving object other than the different vehicle to be positioned within a blind area of a detection range for a periphery monitoring sensor that is configured to monitor surroundings of the vehicle.

Among other things, techniques are described for planning a route for an autonomous vehicle. As an example, a set of candidate constraints for a road segment to be traversed by a vehicle is obtained. A plurality of homotopies are determined, each including a different respective combination of the candidate constraints. For each homotopy, a first prediction of a motion of the vehicle is generated according to a first degree of precision, and a determination is made that the vehicle can traverse the road segment according to a subset of the homotopies. Further, a plurality of trajectories are determined according to the subset of the homotopies, including generating at least one second prediction of the motion of the vehicle according to a second degree of precision greater than the first degree of precision, and selecting one of the trajectories.

Multiple trajectories for a vehicle are generated based on a road segment. Sensor data is received from at least one sensor. The vehicle is traveling the road segment in accordance with a first trajectory of the multiple trajectories. A potential collision is predicted between the vehicle and an object based on the sensor data and the first trajectory. A set of constraints is determined to avoid the potential collision. The set of constraints is determined based on the sensor data. A maneuver is determined for the vehicle by superimposing each constraint of the set of constraints on each other constraint of the set of constraints. The maneuver includes a second trajectory independent of the multiple trajectories. Instructions are transmitted to a control circuit of the vehicle to override the first trajectory and traverse the road segment according to the second trajectory to perform the maneuver.

A vehicle control method for determining a vehicle control level based on avoidance information of a passenger with respect to a dangerous situation. The method includes: detecting a state of a passenger; calculating a first degree of danger based on the passenger's state; calculating a second degree of danger based on a driving state of the vehicle, positional relationship between the vehicle and another vehicle, and/or a driving situation of the vehicle; extracting avoidance information corresponding to the first and second degrees of danger from stored avoidance information of the passenger; and determining a control level of the vehicle based on the first and second degrees of danger and the extracted avoidance information. An autonomous vehicle, a user terminal, and/or a server may be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

A method for controlling a vehicle using a toy device in an Automated Vehicle & Highway system (AVHS). The method is performed by a control device and includes: identifying the toy device in the vehicle; when the toy device is identified, receiving GUI information from the toy device or a GUI server device; preparing a specific scenario or driving mode based on the GUI information; controlling a vehicle state based on information on the specific scenario or driving mode; and when termination information is received, controlling the vehicle state based on autonomous driving information. Implementations disclosed herein enable moving to a desired destination and enjoying 4D content at the same time through the vehicle in the AVHS. An autonomous vehicle, user terminal, and/or server according to the present invention may be associated with an artificial intelligence module, robot, augmented reality (AR) device, virtual reality (VR) device, etc.

Disclosed are a method for controlling a vehicle and an intelligent computing apparatus for controlling a vehicle. The method for controlling a vehicle includes obtaining state information related to a driver in the vehicle, generating information related to concentration on the basis of the state information related to the driver, and outputting information related to drowsiness prevention on the basis of the information related to concentration, whereby it is possible to prevent driver's concentration from being decreased and it is possible to prevent occurrence of an accident due to carelessness such as decreased concentration of the driver during driving in advance by recognizing a state in which the driver's concentration is significantly decreased and providing information related to drowsiness prevention to increase concentration again. One or more of the vehicle, user terminal, and server of the present invention may be associated with an Artificial Intelligence Intelligenfce module, a robot, an Augmented Reality (AR) device, a Virtual Reality (VR) device, a device associated with a 5G service, or the like. Can be.