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公开(公告)号：US20230140569A1
公开(公告)日：2023-05-04
申请号：US18050972
申请日：2022-10-28
申请人： TuSimple, Inc.
摘要： A high precision digital map is pre-developed and stored in a memory of an in-vehicle control computer on an autonomous vehicle. The digital map is updated by the in-vehicle control computer with detected roadway data that is a fusion of roadway perception data from at least one perception sensor on the autonomous vehicle and real time GPS signal from at least one GPS receiving devices on the autonomous vehicle. The updated digital map is transferred to a remote oversight system via a network communication subsystem, and the oversight system distributes the updated digital map to other autonomous vehicles connected over the network communication subsystem.
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公开(公告)号：US20230139740A1
公开(公告)日：2023-05-04
申请号：US18051377
申请日：2022-10-31
申请人： TuSimple, Inc.
发明人： Joyce Tam
摘要： A system includes an autonomous vehicle and an oversight server. The oversight server obtain sensor data from the autonomous vehicle. The sensor data may include a location of the autonomous vehicle. The oversight server determines that one or more criteria apply to the autonomous vehicle based on the sensor data. The one or more criteria includes a geofence area, a particular time window, and a credential associated with a third party. The oversight server grants remote access to the autonomous vehicle in response to determining that the one or more criteria apply to the autonomous vehicle.
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公开(公告)号：US20230139133A1
公开(公告)日：2023-05-04
申请号：US17947800
申请日：2022-09-19
发明人： Dongsuk Kum , Kibeom Lee , Seul Bin Hwang
摘要： Disclosed is a lane change system for an autonomous vehicle. A lane change method performed by a lane change system may include receiving driving state information of a vehicle and outputting a path and velocity plan corresponding to the input driving state information of the vehicle by using a lane change algorithm. The driving state information of the vehicle may include state information of the vehicle including driving information of the vehicle and situation information for recognizing a situation of a surrounding vehicle on the basis of the vehicle.
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公开(公告)号：US20230139072A1
公开(公告)日：2023-05-04
申请号：US17513655
申请日：2021-10-28
摘要： A map database stores data describing a set of connected roads each having one or more lanes, each having one or more lanes. The map database further stores data describing at an avoidance area comprising an area in the map database that an autonomous vehicle (AV) avoids traversing. A routability system determines at least one lane that can be accessed by the AV if the AV traverses the avoidance area, and generates a restored coverage area corresponding to the at least one lane. The restored coverage area corresponds to an area of restored coverage provided by the AV traversing the avoidance area. The routability system computes a score based on the restored coverage area, the score indicating an impact of restoring access by the AV to the avoidance area.
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公开(公告)号：US20230138981A1
公开(公告)日：2023-05-04
申请号：US18048941
申请日：2022-10-24
申请人： TuSimple, Inc.
发明人： Hunter Scott Willoughby , Dishi Li , Yufei Zhao
IPC分类号： B60W60/00
摘要： A control device associated with an autonomous vehicle receives sensor data and detects that the autonomous vehicle is approaching a railroad crossing based on the sensor data. The control device determines a target lane to travel while crossing the railroad. The target lane is a lane that has available space with at least a length of the autonomous vehicle on the other side of the railroad as opposed to a side of the railroad where the autonomous vehicle is currently traveling. The control device instructs the autonomous vehicle to travel on the target lane. The control device determines that a train is approaching the railroad crossing and waits for the train to pass the railroad crossing. The control device determines that the train has passed the railroad crossing. The control device instructs the autonomous vehicle to cross the railroad.
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公开(公告)号：US20230138704A1
公开(公告)日：2023-05-04
申请号：US18090743
申请日：2022-12-29
发明人： Qiyu LIU , Zhongpu XIA
IPC分类号： B60W60/00 , B60W30/09 , B60W30/095 , B60W30/18
摘要： A method for automatic driving at an intersection, an electronic device, storage medium, and an automatic driving vehicle, which relate to a field of a data processing technology, in particular to a field of automatic driving. The method includes: determining a first initial convergence location information between an obstacle and a vehicle, a current location information of the obstacle, and an orientation information of the obstacle; determining a target convergence location information between the obstacle and the vehicle according to the first initial convergence location information, the current location information of the obstacle and the orientation information of the obstacle; determining a target travelling plan from a plurality of candidate travelling plans for the vehicle according to the target convergence location information and a current travelling parameter of the obstacle; and controlling the automatic driving of the vehicle according to the target travelling plan.
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公开(公告)号：US20230138650A1
公开(公告)日：2023-05-04
申请号：US18088707
申请日：2022-12-26
IPC分类号： G01M17/007 , B60W60/00 , B60W30/095
摘要： A test method for automatic driving includes: obtaining driving data of an automatic driving vehicle; determining at least one driving scene contained in the driving data according to the driving data and a preset scene analysis strategy, each of the at least one driving scene including at least one type of indicator parameter information; and testing the automatic driving vehicle according to respective types of indicator parameter information in the at least one driving scene.
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公开(公告)号：US20230138468A1
公开(公告)日：2023-05-04
申请号：US17514612
申请日：2021-10-29
发明人： Oliver Martinovski
摘要： Autonomous vehicle trailer loading with smart trailer are disclosed herein. An example method includes receiving a request to activate a self-loading procedure for an autonomous vehicle, executing the self-loading procedure by an autonomous vehicle controller, the self-loading procedure including causing the autonomous vehicle to navigate to a transportation platform, determining a visual identifier of the transportation platform using output from a sensor platform of the autonomous vehicle, and causing the autonomous vehicle to navigate onto or into the transportation platform and park at a parking spot of the transportation platform designated for the autonomous vehicle.
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公开(公告)号：US20230134200A1
公开(公告)日：2023-05-04
申请号：US17453544
申请日：2021-11-04
申请人： Waymo LLC
发明人： Craig Latimer , Eric Kim , David Smith
摘要： A vehicle operable to pull a trailer comprising a payload is provided, that includes a plurality of sensors configured to capture sensor data related to the vehicle, the trailer, or both, and a controller configured to (i) receive the sensor data from the plurality of sensors, (ii) determine, based on the sensor data, one or more parameters associated with the trailer, the payload, or both, (iii) update, based on an analysis of the one or more parameters, a confidence level associated with an operation of the vehicle with the trailer and the payload, and (iv) based on the confidence level, responsively execute an autonomous control strategy comprising one or more adjustments to the operation of the vehicle.
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公开(公告)号：US20230133867A1
公开(公告)日：2023-05-04
申请号：US17514592
申请日：2021-10-29
发明人： Georg Kuschk , Michael Meyer
摘要： The technologies described herein relate to a domain adaptation system for sensor data. A computer-implemented model is trained using a set of training sensor data to facilitate classification of objects that are in the vicinity of an autonomous vehicle (AV). The set of training data corresponds to a first domain, such as firmware version of a sensor system, model of a sensor system, position of the sensor system on a vehicle, an environmental condition, etc. The set of training data is generated based upon pre-existing training data that corresponds to a second domain that is different from the first domain. Put differently, the pre-existing training data is transformed to correspond to the domain of a sensor system as it will be used on the AV.
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