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zhengweiqi's Projects

apollo icon apollo

An open autonomous driving platform

approxmvbb icon approxmvbb

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

books icon books

ROS学习相关电子书,目前收集了10本

cudaotsu icon cudaotsu

Otsu's method thresholding and image binarization on GPU in CUDA

curb_detection icon curb_detection

based on the paper A real-time curb detection and tracking method for UGVs by using a 3D-LIDAR sensor

ila-scnn icon ila-scnn

Computation using data flow graphs for scalable machine learning

kitti-pcl icon kitti-pcl

Code to use the KITTI (http://www.cvlibs.net/datasets/kitti) data set with PCL

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

multinet icon multinet

Real-time Joint Semantic Reasoning for Autonomous Driving

mv3d icon mv3d

Multi-View 3D Object Detection Network for Autonomous Driving

object-detection-in-point-cloud-road-boundary icon object-detection-in-point-cloud-road-boundary

Object detection in Point Cloud is popular in HD Map and sensor-based autonomous driving. There basically four types of object you can obtain in daily scenario: road surface - contains painted lane marking and pavement area, support facility - contains road boundary (guardrail and curb), road sign, light pole, etc., uncorrelated object - for example, sidewalk, building, etc., and moving object - such like pedestrian, vehicle, bicycle, etc. In this project, please search references, design and prototype your road boundary (guardrail) detection algorithm.

pcl-ground-filter icon pcl-ground-filter

Progressive Morphological Filter for Ground Extraction of Lidar Data using PCL

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