Abstract: Driving parameters (e.g., speed, heading direction) that an autonomous driving vehicle (ADV) likely utilize as target driving parameters are grouped into a number of ranges and one of the driving parameters in each range is selected as a driving parameter representative or a target driving parameter representing the respective range or segment. For each of the target driving parameters representing the ranges, a particle swarm optimization method is utilized to derive a set of most optimized coefficients for a controller (e.g., speed controller, steering controller) for controlling an ADV. A driving parameter to coefficient (parameter/coefficient) mapping table is generated to map a particular driving parameter representing a range of driving parameter to a set of one or more coefficients of a particular controller. The parameter/coefficient mapping table is utilized at real-time to configure a controller in response to a particular target driving parameter using the corresponding coefficients.

Abstract: A water inlet box assembly comprises a manual dispenser and a liquid storage cartridge, wherein the latter can be removed in a vertical direction. The water inlet box assembly consists of a water inlet box, a shower assembly, a storage cartridge, decorative cover, pumps and pipeline assembly, etc. The water inlet box assembly is installed on the left front area of the top of a washing machine. In front of the water inlet box, a chamber is designed for manual dispensing; and behind the water inlet box, there is a chamber used for receiving the storage cartridge. The storage cartridge has two chambers, and they are used to store detergent and softener respectively; inside the storage cartridge, a floater is installed to detect the height of the liquid. Users can add detergent and softener from the top of the washing machine, and remove the storage cartridge in a vertical direction and clean it.

Abstract: State of an autonomous driving vehicle (ADV) is measured and stored for a location and speed of the ADV. Later, the state of the ADV is measured for the location and speed corresponding to a previously stored state of the ADV at the same location and speed. Fields of the measured stored states of the ADV are compared. If one or more differences between the measured and stored ADV states exceeds a threshold, then one or more control input parameters of the ADV is adjusted, such as steering, braking, or throttle. Differences may be attributable to road conditions or to state of servicing of the ADV. Differences between measured and stored states of the ADV can be passed to a service module. Service module can access crowd sourced data to determine whether one or more control input parameters for a driving state of one or more ADVs should be updated.

Abstract: A social driving style learning framework or system for autonomous vehicles is utilized, which can dynamically learn the social driving styles from surrounding vehicles and adopt the driving style as needed. Each of the autonomous vehicles within a particular driving area is equipped with the driving style learning system to perceive the driving behaviors of the surrounding vehicles to derive a set of driving style elements. Each autonomous vehicle transmits the driving style elements to a centralized remote server. The server aggregates the driving style elements collected from the autonomous vehicles to determine a driving style corresponding to that particular driving area. The server transmits the driving style back to each of the autonomous vehicles. The autonomous vehicles can then decide whether to adopt the driving style, for example, to follow the traffic flow with the rest of the vehicles nearby.

Abstract: In one embodiment, autonomous driving control is provided for an autonomous vehicle changing from a source lane to a target lane. Using a topological map, a reference node is selected in the source lane. With respect to the reference node, an earliest node is determined in the source lane at which it is first possible for the vehicle to change lanes and a last node is determined in the source lane after which it is no longer possible to change lanes. A range of the source lane is determined for which the vehicle can change lanes.

Abstract: Described is a system that provides the ability for an autonomous driving vehicle to visually communicate with other traffic entities such as other autonomous driving vehicles, non-autonomous driving vehicles, pedestrians, cyclists, and the like. To provide such an ability, the system allows autonomous driving vehicles to communicate using a lighting mechanism. For example, the lighting mechanism may include one or more specialized lights that are provided in addition to any mandated lighting systems required for a vehicle (e.g. brake lights, headlights, turn signals, etc.). Accordingly, the autonomous driving vehicle may communicate with traffic entities to provide additional cues such as intended driving maneuvers, and to provide a mechanism for two-way communication with other autonomous driving vehicles.

Abstract: A lane departure detection system detects that an autonomous driving vehicle (ADV) is departing from the lane in which the ADV is driving based on sensor data captured when the ADV contact a deceleration curb such as a speed bump laid across the lane. When the ADV contacts the deceleration curb, the lane departure detection system detects and calculates an angle of a moving direction of the ADV vs a longitudinal direction of the deceleration curb. Based on the angle, the system calculates how much the moving direction of the ADV is off compared to a lane direction of the lane. The lane direction is typically substantially perpendicular to the longitudinal direction of the deceleration curb. A control command such as a speed control command and/or a steering control command is generated based on the angle to correct the moving direction of the ADV.

Abstract: When generating a control command of an autonomous driving vehicle (ADV), a pitch status and/or a roll status of the road is determined. The control command is adjusted based on the pitch status and the roll status. For example, when an ADV is driving on an uphill or downhill road, a pitch status of the road is determined and a speed control command will be generated based on the pitch status of the road, such that the ADV have a similar acceleration rate as of driving on a flat road. Similarly, when the ADV is driving on a road that is tilted or rolled left or right, a roll status of the road is determined and a steering control command will be generated in view of the roll status of the road, such that the ADV have a similar heading direction as of driving on a flat road.

Abstract: In one embodiment, it is determined that an ADV is about to decelerate based on perception of a driving environment surrounding the ADV. In addition, if there is another vehicle that is following the ADV, a distance between the ADV and the following vehicle, as well as the speed of the following vehicle, is determined. A deceleration rate that is required for the following vehicle to avoid a collision with the ADV is determined based on the distance between the ADV and the following vehicle and the speed of the following vehicle. If the deceleration rate is greater than a predetermined threshold, a brake light and an emergency light of the ADV are turned on to warn the following vehicle that the ADV is about to rapidly decelerate as it is treated as an emergency situation.

Abstract: A method and system are provided for triggering display of an application. The method includes: in response to receiving a gesture denoting an approximate closed region or a closed region on a display screen, determining a non-full-screen display region corresponding to the gesture on the display screen; displaying shortcuts of at least one application in the non-full-screen display region; and in response to a user selecting one of the shortcuts, launching an application corresponding to the selected shortcut, and displaying an interface of the application in the non-full-screen display region.

Abstract: In response to a first request for query received from a user device over a network, a search identifier (ID) identifying a search transaction is generated. A search engine performs a search within a content database based on one or more keywords, generating a set of content items. For at least one of the content items, an encoder encodes the search ID and a content ID identifying the content item into a machine-readable code and attaches the machine-readable code to the content item. A search result page is generated by incorporating the set of content items, where at least one of the content items in the search result includes a machine-readable code having the search ID and its content ID encoded therein. The search result page is transmitted to the user device over the network.

Abstract: In one embodiment, an autonomous driving vehicle (ADV) steering control system determines how much and when to apply a steering control to maneuver obstacles of a planned route. The steering control system calculates a first steering angle based on a target directional angle and an actual directional angle of the ADV, a second steering angle based on a target lateral position and an actual lateral position of the ADV to maneuver a planned route, an object, or an obstacle course. The steering control system determines a target steering angle based on the first steering angle and the second steering angles and utilizes the target steering angle to control a subsequent steering angle of the ADV.

Abstract: The present disclosure discloses a testing method and apparatus applicable to a driverless vehicle. In some embodiments, the method comprises: sending, by a terminal, position information to the driverless vehicle at a test site; sending, to the driverless vehicle, environment perception information of a preset test event corresponding to a preset position when a position in a real driving environment corresponding to the driverless vehicle is the preset position, obtaining output information of a functional module, determining whether the functional module is normal based on a comparison result between the output information and preset information corresponding to the functional module. At the test site, one can test whether each functional module is normal when the driverless vehicle encounters various kinds of events in the real driving environment, thus avoiding the safety risk of the test in the real driving environment.

Abstract: Described is a system and method for providing an autonomous driving control mechanism in response to an emergency handling event using an emergency (or backup) control system. For example, in certain conditions such as a hardware or software failure, proper functioning of an autonomous driving control system may become compromised. Accordingly, the system may switch to an emergency decision system to continue to provide autonomous driving control functionality. In addition, the emergency decision system may switch to rules and/or a decision algorithm that prioritizes collision avoidance or safety concerns such as injury or fatality prevention in response to the emergency handling event.

Abstract: The present disclosure provides thiazolyl-containing compounds of Formula (I), (II), or (III). The compounds described herein may be able to inhibit protein kinases (e.g., Src family kinases (e.g., hemopoietic cell kinase (HCK)), Bruton's tyrosine kinase (BTK)) and may be useful in treating and/or preventing proliferative diseases (e.g., myelodysplasia, leukemia, lymphoma (e.g., Waldenström's macroglobulinemia)) and in inducing apoptosis in a cell (e.g., malignant blood cell). Also provided in the present disclosure are pharmaceutical compositions, kits, methods, and uses including or using a compound described herein.

Abstract: In one embodiment, planning data is received, for example, from a planning module, to drive an autonomous driving vehicle (ADV) from a starting location and a destination location. In response, a series of control commands are generated based on the planning data, where the control commands are to be applied at different points in time from the starting location to the destination location. A cost is calculated by applying a cost function to the control commands, a first road friction to be estimated in a current trip, and a second road friction estimated during a prior trip from the starting location to the destination location. The first road friction of the current trip is estimated using the cost function in view of a prior termination cost of the prior trip, such that the cost reaches minimum.

Abstract: In one embodiment, a lane departure detection system detects at a first point in time that a wheel of an ADV rolls onto a lane curb disposed on an edge of a lane in which the ADV is moving. The system detects at a second point in time that the wheel of the ADV rolls off the lane curb of the lane. The system calculates an angle between a moving direction of the ADV and a lane direction of the lane based on the time difference between the first point in time and the second point in time in view of a current speed of the ADV. The system then generates a control command based on the angle to adjust the moving direction of the ADV in order to prevent the ADV from further drifting off the lane direction of the lane.

Abstract: A battery system includes a first battery module, a second battery module, a supply line, a return line, and a film heater. The supply and return lines are configured to circulate a heat transfer medium in response to a first temperature condition, and the film heat is configured to heat the first battery module and the second battery module in response to a second temperature condition.

Abstract: When an ADV is detected to transition from a manual driving mode to an autonomous driving mode, a first pedal value corresponding to a speed of the ADV at a previous command cycle during which the ADV was operating in the manual driving mode is determined. A second pedal value is determined based on a target speed of the ADV at a current command cycle during which the ADV is operating in an autonomous driving mode. A pedal value represents a pedal percentage of a maximum pedal pressure or maximum pedal pressed distance of a throttle pedal or brake pedal from a neutral position. A speed command is generated and issued to the ADV based on the first pedal value and the second pedal value, such that the ADV runs in a similar acceleration before and after switching from the manual driving mode to the autonomous driving mode.

Abstract: In one embodiment, a request is received to turn the autonomous driving vehicle (ADV) from a first direction to a second direction. In response to the request, a number of segment masses of a number of segments of the ADV are determined. The segment masses are located on a plurality of predetermined locations within a vehicle platform of the ADV. A location of a mass center for an entire ADV is calculated based on the segment masses of the segments of the ADV, where the mass center represents a center of an entire mass of the entire ADV. A steering control command based on the location of the mass center of the entire ADV for steering control of the ADV.