A road resource is identified, according to one or more maneuver sharing intent messages received to the vehicle via a transceiver of a vehicle, where the road resource is contested between the vehicle and one or more other vehicles and includes a portion of a roadway to be traversed by the vehicle and also the one or more other vehicles. A conflict resolution procedure is performed to determine whether the vehicle gains access to the road resource, wherein the conflict resolution procedure is independently performed by each of the vehicle and the one or more other vehicles. One of the vehicle or the one or more other vehicles is granted access to the road resource based on the conflict resolution procedure.

Systems, apparatus and methods to implement sectional design (e.g., in quadrants) of an autonomous vehicle may include modular construction techniques to assemble an autonomous vehicle from multiple structural sections. The multiple structural sections may be configured to implement radial and bilateral symmetry. A structural section based configuration may include a power supply configuration (e.g., using rechargeable batteries) including a double-backed power supply system. The power supply system may include a kill switch disposed on a power supply (e.g., at an end of a rechargeable battery). The kill switch may be configured to disable the power supply system in the event of an emergency or after a collision, for example. The radial and bilateral symmetry may provide for bi-directional driving operations of the autonomous vehicle as the vehicle may not have a designated front end or a back end.

Methods of detecting stationary objects are provided. Methods include: receiving sensor signal data including stationary and non-stationary detections from a surrounding environment of the ego-vehicle; determining at least one group of stationary detections which meet one or more lateral position selection criteria based on the lateral position of each stationary detection from a direction faced by the ego-vehicle; determining, at least one group of stationary detections which meet one or more group regularity selection criteria based on the regularity of the differences in position between pairs of sequentially positioned stationary detections in the group in the direction faced by the ego vehicle; determining stationary detections which meet the lateral selection criteria and the group regularity selection criteria for being a group of stationary detections corresponding to at least one stationary object; and removing the stationary detections in corresponding to at least one stationary object from the sensor signal data output.

Systems and methods can improve passenger safety for an Autonomous Vehicle (AV) based on the integration of sensor data captured by the AV's interior and exterior sensors. The AV can determine passenger occupancy data corresponding to where each passenger is detected within the AV by the interior sensors. The AV can determine multiple sets of one or more driving actions that the AV can perform at a future time. The AV can generate crash impact data corresponding to where each passenger is detected from one or more simulated collisions between the AV and one or more objected detected by the exterior sensors when the AV performs one or more sets of driving actions from among the multiple sets. The AV can determine ranked sets of driving actions based on the passenger occupancy data and the crash impact data.

Methods, devices, and systems related to sensor monitoring in a vehicle are described. In an example, a method can include receiving a trained artificial intelligence (AI) model at a memory device in a vehicle, transmitting the trained AI model to a processing resource in the vehicle, receiving, at the processing resource, data associated with a person located in the vehicle from a sensor included in a computing device and data associated with the vehicle from a sensor included in the vehicle, inputting the received data into the AI model at the processing resource, and sending a command in response to an output of the AI model.

The present disclosure provides a technology that can preferably improve the usability when a user wearing a hearable device boards a vehicle. In an information processing device according to the present disclosure, a controller obtains a drive mode of a vehicle in which a user wearing the hearable device rides. When the drive mode of the vehicle is an automatic drive mode, the controller permits the operation mode of the hearable device to be set to a first mode. On the other hand, when the drive mode of the vehicle is a manual drive mode and a user wearing a hearable device is a user performing a drive operation of the vehicle, the controller sets the operation mode of the hearable device to a second mode.

The safety management apparatus comprises a protective shield with automatic opening and closing, a sensor configured to obtain physical information related to an occupant boarded an autonomous traveling cart, and a controller configured to control the opening and closing of the protective shield. The protective shield is configured to be normally open and, when closed, shield an occupant space of the cart from the outside. The controller includes at least one memory including at least one program, and at least one processor coupled with the at least one memory. The at least one processor executes a first process and a second process upon execution of the at least one program. The first process is to determine whether the occupant is an infant based on the physical information. The second process, which is executed when the occupant is determined to be an infant, is to close the protective shield.

A vehicle safety apparatus mounted on a vehicle includes one or more cameras to detect passenger state information relating to a riding state of a passenger on the vehicle, a memory to store the passenger state information detected by the one or more cameras, and a processor to execute motion control of the vehicle based on the passenger state information stored in the memory. The processor is configured to execute posture determination processing to determine whether the passenger is riding in a stable posture based on the passenger state information, and safety securing processing to secure safety of the passenger by executing the motion control, when the passenger is not riding in the stable posture in the posture determination processing.

A vehicle travel control apparatus includes an actuator and an electronic control unit. The electronic control unit is configured to determine whether a driver of a vehicle is in an abnormal state where the driver loses an ability of driving the vehicle. The electronic control unit is also configured to stop the vehicle at an abnormality determination time point onward, and control a vehicle speed by using the actuator such that the vehicle speed does not become lower than a lower limit vehicle speed in a period from the abnormality determination time point to a time point when the vehicle is stopped. The lower limit vehicle speed is set in accordance with a road shape influencing timing when a driver of another vehicle traveling behind the vehicle visually recognizes the vehicle.

A notification device provided in a vehicle including an autonomous driving system which causes the vehicle to travel by autonomous driving and to evacuate the vehicle when a failure occurs, includes a display unit configured to display information toward an outside of the vehicle, and a display controller configured to control the display unit. The display controller causes the display unit to be turned on or flicker when a failure occurs and changes a display of the display unit in at least one of a time when an evacuation starts and a time when an evacuation is completed.