Abstract: A vehicle thermal management system provided includes a water tank, a flow channel plate, a power component, and a flow channel control component. The water tank includes a plurality of chambers with a first chamber and a second chamber filled with liquid; the flow channel plat includes a plurality of channels connected to the chambers to form thermal management loop to respectively control the first group of the component and the second group of the components; the power assembly includes a first power component and a second power component, respectively arranged on the first thermal management loop and the second thermal management loop; the flow channel control assembly includes a first flow channel control component and a second flow channel control component respectively arranged on the first thermal management loop and the second thermal management loop, and selectively controlling on/off status of them.

Abstract: A device for concealing the steering wheel provided includes provided includes a slide mechanism, and a display. The slide mechanism is installed in a length direction of the center console. The steering wheel is located between the slide mechanism and the center console, the steering wheel is close to an end of the slide mechanism. The slide mechanism includes a slide base, and a slidable assembly. The slidable assembly moves reciprocally along the slide base. The display is fixed to the slidable assembly. The display is driven by the slidable assembly to be switched between a first position and a second position. The display is separated from the steering wheel when the display being located at the first positions. The display shields a side of the steering wheel away from the center console when the display being located at the second position.

Abstract: There is provided with a method for protecting privacy data of a vehicle, including step of: obtaining current sensing data of the vehicle; determining whether a current location of the vehicle is within a predetermined privacy protection locating range; when the current location of the vehicle is not within the predetermined privacy protection locating range, determining the current sensing data to be non-private data and uploading the current sensing data to one or more remote devices of the vehicle; when the current location of the vehicle is within the predetermined privacy protection locating range, determining the current sensing data to be private data and only saving the current sensing data to a local device of the vehicle.

Abstract: This application provides a voice-based control method for a vehicle including: steps of: when receiving a voice command, recognizing the voice command to obtain a pending voice command; planning vehicle actions of the vehicle based on the pending voice command; constructing a current scene map of the vehicle to obtain a first scene map, and displaying the first scene map to prompt user to confirm or modify the pending voice command to correspondingly generate a confirmation instruction or an invalid instruction, wherein the first scene map is configured to present a scenario in which the vehicle would execute the vehicle actions; when the confirmation instruction is received, controlling the vehicle to execute the voice command; and when the invalid instruction is received, controlling the vehicle to ignore the voice command.

Abstract: A system and method for providing an autonomous delivery vehicle (ADV) incorporated with intelligent ramp control is disclosed. The ADV is configured to make decisions to deploy/retract the ramps depending on some conditions around the ADV. The ADV comprising a computing device including a means for executing artificial intelligence (AI) software, a ramp system comprising a plurality of ramps, and a sensor assembly in communication with the computing device to collect environmental data around the ADV. The data is communicated to the AI software, which is configured to analyze the environmental data to detect one or more obstacles proximate to the plurality of ramps of the ADV. Further, AI software determines a decision to deploy/retract at least one ramp based on the analysis and transmits the decision to the computing device. The computing device is configured to manipulate each ramp to deploy/retract based on the received decision.

Abstract: A system and method for navigating an autonomous driving vehicle (ADV) by capturing and analyzing information of a global scene and local objects around the ADV, is disclosed. The system comprises a sensor assembly incorporated on the ADV and a computing device in communication with the sensor assembly. The sensor assembly is configured to collect environmental data around the ADV. The computing device comprises a processor, and a memory unit for storing a predefined scene template and environmental data. The computing device is configured to process the environmental data to identify a moving and static object. The computing device is further configured to observe an environmental scene around the ADV. The observed environmental scene is aligned with a predefined scene template. Further, the predefined scene template is adjusted using the processed environmental data. The computing device provides instruction to control the vehicle based on the adjusted scene template.

Abstract: A system and method for autonomously transporting and delivering one or more commodities from drop-off point to recipient preferred environment, is disclosed. The system is configured to analyze an authorized person's voice command or request and executes the request. The system provides at least two modes of operation to deliver the commodities comprising mapped location delivery mode and human following delivery mode. The system is configured to analyze the command and extract the delivery location. The system is further configured to identify the location of the point of the interest based on object detection system and environment understanding system, to deliver the commodities. At human following delivery mode, the ADV follows the recipient and saves the location or path data once the preferred environment is located. At mapped location delivery mode, ADV maneuvers itself to the destination location by retrieving information on recipient's previous history of delivering commodities.