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

Beijing Xiaomi Mobile Software Co., Ltd.

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

Baidu Online Network Technology Co., Ltd.

Dongming Chen

Liang Wang

Hao Wang

Tian Xia

Xun Sun

He Yan

Ji Wan

Xiaoyi Zou

Shixi Chen

A support assembly configured to support a display component, includes: a housing comprising a mounting cavity; a circuit board assembly assembled in the mounting cavity; and a heat dissipation assembly assembled to the circuit board assembly.

Support assembly and display device

Embodiments of the present disclosure disclose a method and an apparatus for detecting an obstacle, an electronic device, a vehicle and a storage medium. The method includes: obtaining a depth map around a vehicle; performing a terrain fitting based on the depth map to determine a terrain equation; determining a set of candidate obstacle points based on the terrain equation and the depth map; clustering candidate obstacle points in the set of candidate obstacle points to obtain at least one independent obstacle; and identifying and filtering a falsely detected obstacle from the at least one independent obstacle to obtain a depth-map-based obstacle detection result.

Method and apparatus for detecting obstacle, electronic device, vehicle and storage medium

Embodiments of the present disclosure provide a ground detection method and apparatus, an electronic device, a vehicle, and a storage medium. The method includes: projecting a laser point cloud obtained to a high resolution mesh and a low resolution mesh respectively; filtering out candidate ground points in the high resolution mesh; and performing ground fitting based on the candidate ground points in the low resolution mesh.

Ground detection method, electronic device, and vehicle

The present disclosure provides an obstacle detecting method and apparatus, a device and a storage medium, wherein the method comprises: obtaining a 3D point cloud collected by an unmanned vehicle during travel; projecting the 3D point cloud on a 2-dimensional grid to respectively obtain feature information of each grid; inputting the feature information of each grid into a pre-trained prediction model to respectively obtain obstacle prediction parameters of each grid; performing grid clustering according to the obstacle prediction parameters of each grid to obtain obstacle detection results. The solutions of the present disclosure can be applied to improve the accuracy of detection results.

Obstacle detecting method and apparatus, device and storage medium

The present disclosure provides an obstacle detecting method and apparatus, a device and a storage medium, wherein the method comprises: obtaining a 3D point cloud collected by a driverless vehicle during travel; determining a set of vertexes and a set of edges respectively according to the obtained 3D point cloud; clustering vertexes in the set of vertexes according to the set of edges to obtain a smallest generated tree as an obstacle detection result. The solutions of the present disclosure can be applied to reduce workload and improve the accuracy of detection results.

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Beijing, China

Dongming Chen