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公开(公告)号:US12097887B2
公开(公告)日:2024-09-24
申请号:US17398359
申请日:2021-08-10
申请人: Baidu USA LLC
发明人: Shu Jiang , Qi Luo , Yu Cao , Weiman Lin , Yu Wang , Hongyi Sun
CPC分类号: B60W60/0025 , B60W50/045 , B60W2050/0083 , B60W2510/20 , B60W2556/45 , B60W2720/10
摘要: According to various embodiments, systems, methods, and media for evaluating an open space planner in an autonomous vehicle are disclosed. In one embodiment, an exemplary method includes receiving, at a profiling application, a record file recorded by the ADV while driving in an open space using the open space planner, and a configuration file specifying parameters of the ADV; extracting planning messages and prediction messages from the record file, each extracted message being associated with the open space planner. The method further includes generating features from the planning message and the prediction messages in view of the specified parameters of the ADV; and calculating statistical metrics from the features. The statistical metrics are then provided to an automatic tuning framework for tuning the open space planner.
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公开(公告)号:US11673576B2
公开(公告)日:2023-06-13
申请号:US16827510
申请日:2020-03-23
申请人: Baidu USA LLC
发明人: Jiaming Tao , Qi Luo , Jinyun Zhou , Kecheng Xu , Yu Wang , Shu Jiang , Jiangtao Hu , Jinghao Miao
CPC分类号: B60W60/0011 , B60W40/04 , G05D1/0088 , G05D1/0212 , G05D2201/0212 , G05D2201/0213
摘要: In one embodiment, an ADV is routed by executing a first driving scenario that is active. The first driving scenario is one of a plurality of driving scenario types, each driving scenario type being associated with one or more stages to be executed while a corresponding driving scenario type is active. Based on an environmental condition around the ADV, a second driving scenario is set as active. The ADV is routed by executing the second driving scenario. When the second driving scenario exits, execution of the first driving scenario resumes at the one or more stages of the first driving scenario that remains to be executed.
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3.
公开(公告)号:US11493926B2
公开(公告)日:2022-11-08
申请号:US16413339
申请日:2019-05-15
申请人: Baidu USA LLC
发明人: Runxin He , Jinyun Zhou , Qi Luo , Shiyu Song , Jinghao Miao , Jiangtao Hu , Yu Wang , Jiaxuan Xu , Shu Jiang
摘要: In one embodiment, a system generates a plurality of driving scenarios to train a reinforcement learning (RL) agent and replays each of the driving scenarios to train the RL agent by: applying a RL algorithm to an initial state of a driving scenario to determine a number of control actions from a number of discretized control/action options for the ADV to advance to a number of trajectory states which are based on a number of discretized trajectory state options, determining a reward prediction by the RL algorithm for each of the controls/actions, determining a judgment score for the trajectory states, and updating the RL agent based on the judgment score.
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公开(公告)号:US11338819B2
公开(公告)日:2022-05-24
申请号:US16588586
申请日:2019-09-30
发明人: Shu Jiang , Qi Luo , Jinghao Miao , Jiangtao Hu , Xiangquan Xiao , Jiaxuan Xu , Yu Wang , Jinyun Zhou , Runxin He
IPC分类号: B60W50/04 , G06N20/00 , B60W10/04 , B60W10/18 , B60W10/20 , B60W30/18 , G05D1/00 , G06N5/04 , B60W50/00
摘要: In one embodiment, a computer-implemented method for calibrating autonomous driving vehicles at a cloud-based server includes receiving, at the cloud-based server, one or more vehicle calibration requests from at least one user, each vehicle calibration request including calibration data for one or more vehicles and processing in parallel, by the cloud-based server, the one or more vehicle calibration requests for the at least one user to generate a calibration result for each vehicle. The method further includes sending, by the cloud-based server, the calibration result for each vehicle to the at least one user.
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公开(公告)号:US11300955B2
公开(公告)日:2022-04-12
申请号:US16712429
申请日:2019-12-12
申请人: Baidu USA LLC
发明人: Yifei Jiang , Jinyun Zhou , Jiacheng Pan , Jiaxuan Xu , Hongyi Sun , Jiaming Tao , Shu Jiang , Jinghao Miao , Jiangtao Hu
IPC分类号: G05D1/00 , B60W30/182 , B60W40/09 , G06F16/22 , G06T7/35
摘要: In one embodiment, a set of predetermined driving parameters is determined from a set of driving statistics data collected from a number of vehicles, which may be driven by human drivers. For each pair of the predetermined driving parameters, a distribution of the pair of driving parameters is plotted based on their relationship on a two-dimensional (2D) distribution space. The 2D distribution space is partitioned into a number of grid cells, each grid cell representing a particular pair of driving parameters. For each of the grid cells, a probability is calculated that the pair of driving parameter likely falls in the grid cell. A grid table is generated corresponding to the pair of driving parameters. The grid table can be utilized during the autonomous driving at real-time or during simulation to determine a ride stability of an autonomous driving vehicle (ADV) in view of the pair of driving parameters.
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公开(公告)号:US20210294340A1
公开(公告)日:2021-09-23
申请号:US16827452
申请日:2020-03-23
申请人: Baidu USA LLC
发明人: Jinyun Zhou , Qi Luo , Shu Jiang , Jiaming Tao , Yu Wang , JiaXuan Xu , KeCheng Xu , Jinghao Miao , Jiangtao Hu
摘要: In one embodiment, a method determines a route from a first location of an autonomous driving vehicle (ADV) to a second location within an open space, the first location being a current location of the ADV. The method determines an objective function based on the route, the objective function having a set of costs for maneuvering the ADV from the first location to the second location. The method determines environmental conditions of the open space and uses the environmental conditions to determine a set of weights, each weight to be applied to a corresponding cost of the objective function. The method optimizes the objective function in view of one or more constraints, such that an output of the objective function reaches minimum while the one or more constraints are satisfied and generates a path trajectory with the optimized objective function to control the ADV autonomously according to the path trajectory.
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公开(公告)号:US11814073B2
公开(公告)日:2023-11-14
申请号:US16823141
申请日:2020-03-18
申请人: Baidu USA LLC
发明人: Shu Jiang , Qi Luo , Jinghao Miao , Jiangtao Hu , Yu Wang , Jinyun Zhou , Jiaming Tao , Kecheng Xu
IPC分类号: B60W60/00
CPC分类号: B60W60/0011 , B60W60/0017 , B60W60/00182
摘要: In one embodiment, a control command is generated with an MPC controller, the MPC controller including a cost function with weights associated with cost terms of the cost function. The control command is applied to a dynamic model of an autonomous driving vehicle (ADV) to simulate behavior of the ADV. One or more of the weights are based on evaluation of the dynamic model in response to the control command, resulting in an adjusted cost function of the MPC controller. Another control command is generated with the MPC controller having the adjusted cost function. This second control command can be used to effect movement of the ADV.
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公开(公告)号:US11738771B2
公开(公告)日:2023-08-29
申请号:US16627257
申请日:2019-12-20
发明人: Shu Jiang , Qi Luo , Jinghao Miao , Jiangtao Hu , Yu Wang , Jiaxuan Xu , Jinyun Zhou , Kuang Hu , Chao Ma
CPC分类号: B60W60/0011 , B60W10/06 , B60W10/18 , B60W10/20
摘要: A simulation of an autonomous driving vehicle (ADV) includes capturing first data that includes a control command output by an autonomous vehicle controller of the ADV, and capturing second data that includes the control command being implemented at a control unit of the ADV. The control command, for example, a steering command, a braking command, or a throttle command, is implemented by the ADV to affect movement of the ADV. A latency model is determined based on comparing the first data with the second data, where the latency model defines time delay and/or amplitude difference between the first data and the second data. The latency model is applied in a virtual driving environment.
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9.
公开(公告)号:US11586209B2
公开(公告)日:2023-02-21
申请号:US16843545
申请日:2020-04-08
申请人: Baidu USA LLC
发明人: Qi Luo , Jinyun Zhou , Shu Jiang , Jiaming Tao , Yu Wang , Jiaxuan Xu , Kecheng Xu , Jinghao Miao , Jiangtao Hu
摘要: In one embodiment, method performed by an autonomous driving vehicle (ADV) that determines, within a driving space, a plurality of routes from a current location of the ADV to a desired location. The method determines, for each route of the plurality of routes, an objective function to control the ADV autonomously along the route and, for each of the objective functions, performs Differential Dynamic Programming (DDP) optimization in view of a set of constraints to produce a path trajectory. The method determines whether at least one of the path trajectories satisfies each constraint and, in response to a path trajectory satisfying each of the constraints, selects the path trajectory for navigating the ADV from the current location to the desired location.
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公开(公告)号:US11183059B2
公开(公告)日:2021-11-23
申请号:US16391232
申请日:2019-04-22
申请人: Baidu USA LLC
发明人: Jinyun Zhou , Runxin He , Qi Luo , Jinghao Miao , Jiangtao Hu , Yu Wang , Jiaxuan Xu , Shu Jiang
摘要: According to one embodiment, in response to a request to park an ADV into a parking lot, a remote server is accessed over a network (e.g., a VX2 link) to obtain a list of parking spaces that appear to be available in the parking lot. Based on the list of available parking spaces and the map associated with the parking lot, a route is generated to navigate through at least the available parking spaces. The ADV is driven according to the route to locate at least one of the available parking spaces and to park the ADV into the located available parking space. The centralized server is configured to periodically receive signals from a number of parking lots indicating which of the parking spaces of the parking lots are apparently available.
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