Described herein are robotic platforms and associated features that may have applicability in a wide variety of applications and industries, but that may have particular applicability in automotive testing and testing of vehicles having autonomous or semi-autonomous driving features. Robotic platforms may include a low-profile chassis, one or more rotational elements coupled to one or more drive motors and supported within the chassis, and a control system coupled to and controlling the drive motor(s). Also disclosed are suspension systems that may maintain the chassis of a robotic platform above the ground in use but that allows the chassis to ground out when subject to a pre-determined load, thereby spreading the load across the chassis.

Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

The embodiments of the present disclosure provide a detection method, apparatus for automatic driving sensor, and electronic device. The method includes: pre-establishing a standard association relationship, the sensor to-be-detected is used for capturing in a fixed scene, and a corresponding capturing result is displayed.

An unmanned device used in a wireless communication relay system includes: a surrounding environment information detector acquiring information on a surrounding environment of a moving object; a processor generating a control command for the moving object based on the acquired information on the surrounding environment; and a communication interface for transmitting the control command generated by the processor to the moving object, wherein the unmanned device is located at a predetermined height and relays communication between the moving object and a control center, and thus, even when wireless communication between the control center and the moving object is difficult due to an obstacle or the like, the connection of the wireless communication may be maintained without disconnection of the wireless communication.

Systems and methods for autonomous lane level navigation are disclosed. In one aspect, a control system for an autonomous vehicle includes a processor and a computer-readable memory configured to cause the processor to receive a partial high-definition (HD) map that defines a plurality of lane segments that together represent one or more lanes of a roadway, the partial HD map including at least a current lane segment. The processor is also configured to generate auxiliary global information for each of the lane segments in the partial HD map. The processor is further configured to generate a subgraph including a plurality of possible routes between the current lane segment and the destination lane segment using the partial HD map and the auxiliary global information, select one of the possible routes for navigation based on the auxiliary global information, and generate lane level navigation information based on the selected route.

Determining classification(s) for object(s) in an environment of autonomous vehicle, and controlling the vehicle based on the determined classification(s). For example, autonomous steering, acceleration, and/or deceleration of the vehicle can be controlled based on determined pose(s) and/or classification(s) for objects in the environment. The control can be based on the pose(s) and/or classification(s) directly, and/or based on movement parameter(s), for the object(s), determined based on the pose(s) and/or classification(s). In many implementations, pose(s) and/or classification(s) of environmental object(s) are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and/or a frequency-modulated continuous wave (FMCW) LIDAR component.

A system includes an autonomous vehicle (AV) comprising a sensor, a control subsystem, and an operation server. The control subsystem receives sensor data comprising location coordinates of the AV from the sensor. The operation server detects an unexpected event from the sensor data, comprising at least one of an accident, an inspection, and a report request. The operation server receives a message from a user comprising a request to access particular information regarding the AV and location data. The operation server associates the AV with the user if the location coordinates of the AV match location data of the user. The operation server establishes a communication path between the user and a remote operator for further communications.

An item repositioning method includes, in response to a request for an item, moving a vehicle along a first route to a location of the item, loading the item in the vehicle using a lift assist device mounted to the vehicle, moving the vehicle along a second route to transport the item to a desired location, and at the desired location, unloading the item from the vehicle using the lift assist device.

An Improved Roadway Guidance System provides guidance elements in a roadway as means to guide a vehicle along the roadway, as well as supply important information to the vehicle to enhance the autonomous operation of the vehicle in a safe and efficient manner. The system comprises at least three parts: (1) the use of overlaid roadway emitter strips that provide an extended excitation/emission field simultaneous with direct guidance instructions to passing vehicles; (2) the use of a linearly-arranged antenna array system provided on the vehicle and adapted for interaction with the emitter strips for positionally locating the vehicle within a travel lane and providing additional informative data for operation of the vehicle; and (3) the use of a multi-port Receiver Unit that works with the antenna array and the host vehicle's guidance system to optimize autonomous operation of the vehicle.

A method for operating a higher-level automated vehicle (HAV), in particular a highly automated vehicle, is provided, including: S1 for providing a digital map, which may be a highly accurate digital map, in a driver assistance system of the HAV; S2 for determining an instantaneous vehicle position and localizing the vehicle position in the digital map; S3 for providing an expected setpoint traffic density at the vehicle position; S4 for ascertaining an instantaneous actual traffic density in the surroundings of the HAV; S5 for comparing the actual traffic density to the setpoint traffic density and ascertaining a difference value as the result of the comparison; S6 for checking the vehicle position of the HAV for plausibility at least partially based on the difference value and/or S7 for updating the digital map at least partially based on the difference value. Also described are a corresponding driver assistance system and a computer program.