Microsoft Technology Licensing, LLC

Apollo Intelligent Driving Technology (beijing) Co., Ltd.

Baidu Online Network Technology (beijing) Co., Ltd.

Beijing Bytedance Network Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Baidu Online Network Technology Co., Ltd.

Cong Chen

Yingnong Dang

Si Qin

Ye Song

Songtao Chang

Xinsheng Yang

Feng Liang

Dongmei Zhang

Hang Li

Jun Li

Zhao Wang

Bin Zhao

Qi Chen

Shi Han

Ye Tian

Song Ge

David Gregory Grant

Chen He

Prashant Ratanchandani

Jianbo Zhu

Zhenyu Zhao

Simon Cheng Liu

Bo Zhan

Wenyang Chen

Zhencao Zhang

Fulin Cheng

Chaoran Li

Youhao Li

Wenzhi Bai

Xiangpeng Zhao

Guibin Tian

Xianghao Guo

Bole Wang

Sk Kajal Arefin Imon

Yubin Wang

Heng Ma

Navid Jalali Heravi

Ivan Michael Berg

Shenghao Hu

Michael D Moshofsky

Chao Bian

The present disclosure relates to systems, methods, and computer readable media for diagnosing and mitigating memory impact events, such as memory leaks, high memory usage, or other memory issues causing a host node from performing as expected on a cloud computing system. The systems described herein involve receiving locally generated memory usage data from a plurality of host nodes. The systems described herein may aggregate the memory usage data and determine a memory impact diagnosis based on a subset of the aggregated memory usage data. The systems described herein may further apply a mitigation model for mitigating the memory impact event. The systems described herein provide an end-to-end solution for diagnosing and mitigating a variety of memory issues using a dynamic and scalable system that reduces a negative impact of memory leaks and other memory issues on a cloud computing system.

Diagnosing and mitigating memory leak in computing nodes

Embodiments of the present disclosure disclose a parking space detection method and apparatus, an electronic equipment, a vehicle, and a storage medium, which relate to the field of automatic driving technologies and in particular, to the field of autonomous parking, including: collecting ultrasonic information during a moving process of a vehicle, generating a target grid map, performing feature recognition on the target grid map to obtain a line segment, and generating a parking space according to the line segment and the target grid map. By implementing the present disclosure, a disadvantage of a limited range of application in the prior art caused by that the detection of a parking space requires a travelling direction of a vehicle to be parallel with a side of an obstacle and requires the vehicle to be close to the obstacle is avoided, thereby achieving a relatively wide use and improving detection accuracy.

Parking space detection method and apparatus, electronic device, vehicle and storage medium

A method and apparatus for positioning a vehicle. The method may include: acquiring an identification element and non-identification elements of a current vehicle. The method can further include matching the identification element of the current vehicle with position elements in a high-precision map to determine an initial position of the current vehicle. The method can further include using at least one position element in the high-precision map to perform observational constraints on the non-identification elements of the current vehicle to acquire position elements corresponding to the non-identification elements of the current vehicle. The method can further include adjusting the initial position of the current vehicle using the position elements corresponding to the non-identification elements of the current vehicle to obtain a target position of the current vehicle.

Method and apparatus for positioning vehicle, electronic device and storage medium

The present disclosure provides a method, system, and apparatus for processing parking and a vehicle controller, and relates to the field of intelligent transportation technology, specifically to the field of automated parking technology. The method is executed by a parking system deployed on a vehicle controller, the parking system including a perception module and other modules except the perception module; the perception module being deployed on a first operating system in the vehicle controller; and the other modules being deployed on a second operating system in the vehicle controller; the method includes: processing an image collected by an image collector through the perception module to obtain perception result data; and controlling a vehicle based on the perception result data obtained from the perception module by the other modules.

Method, system, and apparatus for processing parking, and vehicle controller

The present disclosure provides a locating element detection method, device and medium, and relates to object detection technologies and is applicable for autonomous parking scenarios. The method includes: obtaining a circular-scanning stitched image around a vehicle; detect the circular-scanning stitched image to determine at least one locating element existing on ambient ground of the vehicle and a semantic type to which each pixel on the circular-scanning stitched image belongs; and performing matching and fusion on the at least one locating element based on the semantic type to obtain a locating element detection result.

Locating element detection method, device and medium

The present disclosure relates to a method, a device and a system for computer game difficulty assessment. The method comprises: recording game data by a data collector in a process of simulating game playing by operating a computer game through an API (Application Programming Interface) of the computer game using an agent algorithm; measuring a goal attainment difficulty of the computer game at this timing according to goal completion degrees of a plurality of goals corresponding to all attempts at each decision-making timing in the recorded game data; measuring a strategy space-related difficulty of the computer game at this timing according to goal completion degrees of a plurality of goals corresponding to all actions at each decision-making timing in the recorded game data; assessing difficulty of the computer game based on a goal attainment difficulty and a strategy space-related difficulty at each timing.

Method, device and system for game difficulty assessment

A display method and display apparatus. The method includes: receiving a display request sent by a vehicle-mounted terminal, the display request including an application identifier of a target application installed on a mobile terminal; in response to the received display request, determining whether the target application is in a running state, and arranging a storage space for the target application; in response to the target application being in a running state, starting to draw an interface of the running target application, and storing, in the storage space, interface data obtained by drawing; performing video encoding on the stored interface data to generate a video stream; and sending the generated video stream to the vehicle-mounted terminal so that the vehicle-mounted terminal displays the interface of the target application according to the video stream.

Display method and device

A method and apparatus for providing a screenshot service on a terminal device and a storage medium and device. The method includes: a producer thread responds to a received screenshot command instruction, executes a screenshot operation, and writes shot screen data into a buffer region; and a consumer thread reads the screen data stored by the producer thread from the buffer region, executes image processing on the screen data to generate a screenshot image, and returns the screenshot image to an application which invokes a screenshot service. Adopting a multi-thread mode of a producer/consumer to complete a screenshot service respectively through a producer thread used for executing screen shooting and a consumer thread used for executing image processing on shot screen data can especially reduce screenshot time on a portable terminal device with limited processing capability, and can complete the screenshot service within tens of milliseconds.

Method and apparatus for providing screenshot service on terminal device and storage medium and device

Techniques for identifying a stack frame responsible for resource usage are described. For instance, techniques described herein enable a particular process and a particular stack frame and/or set of stack frames of the process that are high resource consumers to be identified. According to various implementations, resource usage of a process is observed and recorded over a period of time. A data structure is generated that characterizes the resource usage of the process over the sampling period. The data structure be evaluated to identify a stack frame that is responsible for excess resource consumption. In at least some implementations, a remedial procedure can be performed to attempt to reduce the process's resource usage.

Identifying a stack frame responsible for resource usage

Execution traces are collected from multiple execution instances that exhibit performance issues such as slow execution. Call stacks are extracted from the execution traces, and the call stacks are mined to identify frequently occurring function call patterns. The call patterns are then clustered, and used to identify groups of execution instances whose performance issues may be caused by common problematic program execution patterns.

Analyzing software performance issues

Growing community of inventors

Beijing, China

Cong Chen