Embodiments of the present disclosure relate to a method, device, apparatus and computer readable medium for avoiding entering no-entry areas. According to embodiments of the present disclosure, a first device transmits a request to a second device for querying type information regarding a set of areas. The set of areas are adjacent to an area which the first device currently locates. The second device transmits the type information to the first device. The first device determines whether to transmit its real-time position information based on the type information. In this way, it can reduce workload and save power.

Systems and methods to increase environment awareness in remote driving applications may include a vehicle having an imaging device and a teleoperator station in communication with each other via a network. For example, audio data may be received from the vehicle and processed to identify known sounds associated with unseen objects in the environment. In addition, imaging data may be received from the vehicle and processed to identify known but unheard objects in the environment. Based on the identified sounds and/or objects, visualizations of the objects may be generated and presented to a teleoperator, and sounds associated with the objects may be amplified, synthesized, and/or emitted to the teleoperator to increase environment awareness.

Systems and methods to ensure safe driving behaviors in remote driving applications may include a vehicle having an imaging device and a teleoperator station in communication with each other via a network. For example, a safety tunnel having various safety tunnel parameters may be generated based on location data, map data, vehicle data, and/or sensor data. Remote operation of the vehicle may be monitored with respect to the safety tunnel parameters, and various visual, audio, and/or haptic alerts or feedback may be presented or emitted for the teleoperator to encourage or enforce vehicle operation within the safety tunnel parameters. Further, various autonomous remote operation programs or control routines may be initiated or instructed to ensure safe driving behaviors of the vehicle based on the safety tunnel parameters.

Systems and methods for deployment on an autonomous vehicle are provided. In some example embodiments, the system includes a first compute unit and a second compute unit, in which the first compute unit is configured to receive first information of the vehicle and an environment of the vehicle, generate a first control command based on the first information, and transmit the first control command to a controller of the vehicle to effectuate an autonomous operation of the vehicle; and the second compute unit is configured to receive second information of the vehicle and the environment of the vehicle, generate a second control command based on the second information, and only when a fault or failure of the first compute unit is detected, transmits the second control command to the controller of the vehicle to effectuate the autonomous operation of the vehicle.

A computer system including a processor device configured to determine lateral offsets to a predefined path for a set of vehicles is provided. The processor device is configured to, for each vehicle in the set of vehicles, obtain an indication of a load exerted on a ground surface of the respective vehicle. The processor device is further configured to, determine lateral offsets for the set of vehicles. The lateral offsets are determined to laterally distribute the loads of the set of vehicles relative to the predefined path. The processor device is further configured to, for each vehicle in the set of vehicles, trigger the respective vehicle to travel the predefined path using the determined respective lateral offset.

A computer system comprising a processor device configured to handle a configuration of a predefined path is provided. The processor device is configured to, obtain a configuration of a predefined path. The configuration is indicative of operations to be performed at positions of the predefined path, each operation affects a longitudinal motion of at least one vehicle. The processor device is configured to obtain at least one distance for offsetting at least one position of the configuration. The processor device is configured to adjust the configuration by offsetting the at least one position of the configuration based on the obtained at least one distance. The processor device is configured to trigger the at least one vehicle to operate in the predefined path based on the adjusted configuration.

An autonomous vehicle navigates an environment in which occlusions block the vehicle's ability to detect moving objects. The vehicle handles this by receiving sensor data corresponding to the environment, identifying one or more particles of a plurality of initialized particles that have a non-zero probability of being associated with a potential occluded actor in the occluded region, and generating a trajectory of the autonomous vehicle for traversing the environment based on spatiotemporal reasoning about the occluded region and taking into account the one or more particles. Each particle may be associated with a potential actor.

The present invention acquires surrounding information of surrounding environment of a vehicle; sets a virtual viewpoint position ahead of the vehicle in a traveling direction; uses the acquired surrounding information and generates virtual surrounding information indicating the surrounding environment at the set virtual viewpoint position; transmits a first control signal for controlling an external device located at a location away from the vehicle to display the generated virtual surrounding information; receives driving operation information on a driving operation of the vehicle output from the external device; generates driving assistance information for assisting driving of the vehicle based on the received driving operation information; and generates a second control signal for controlling an output device installed in the vehicle to output the driving assistance information.

A system and method for interfacing an autonomous or remote control drive-by-wire controller with a vehicle's control modules. Vehicle functions including steering, braking, starting, etc. are controllable by wire via a control network. A CAN architecture is used as an interface between the remote/autonomous controller and the vehicle's control modules. A CAN module interface provides communication between a vehicle control system and a supervisory, remote, autonomous, or drive-by-wire controller. The interface permits the supervisory control to control vehicle operation within pre-determined bounds and using control algorithms.

A vehicle system includes a sensor unit including magnetic sensors for detecting a magnetic marker and non-contact displacement sensors which measure a displacement relative to a road surface where the magnetic marker is laid, a processing circuit which performs detection process for detecting the magnetic marker by processing a magnetic measurement value by the plurality of magnetic sensors, and a switching circuit which switches the detection process in accordance with displacement measurement values by the non-contact displacement sensors. By switching the detection process in accordance with the displacement measurement values by the non-contact displacement sensors, the magnetic marker can be detected with high reliability.