osu-haolin,Haolin Zhang,github

👋 My name is Haolin Zhang and I am focusing on Intelligent Vehicle and Autonomous Driving, and insterested in Computer Vision and Deep Learning

Here is my profile:

🔭 M.S. Graduated from OSU-CITR (Control and Intelligent Transportation Research), The Ohio State University (2021/05)
⚡ Github Homepage: [https://github.com/OSU-Haolin]

🔭 Work as full-time research assistant at Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University (2022/06-Now)
⚡ Github Homepage: [https://github.com/XJTU-Haolin]

📚 Google Scholar
🏆 Internship at DeepThink, Hangzhou (Computer Vision in the field of retail business and industry) (2020/12-2021/06)
🏆 Worked at Dahua Technology - HuaRuiJie (Computer Vision including 2D detection, segmentation and classification in ADAS for LeapMotor) (2021/06-2022/06)
🏆 Faraway-Frustum for faraway object 3D detection in KITTI benchmark

📫 Email: [email protected], [email protected], [email protected], Wechat: zhanghaolin1996

Links:

Last Edited on: 06/30/2022

Haolin Zhang's Projects

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fasterrcnn-based-face-mask-detection

人脸口罩检测（中文）/ Face mask detection (English)

jaad

Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

pedestrian_crossing_intention_prediction

Pedestrian Crossing Intention Prediction with Feature Fusion and Spatio-Temporal Attention.

pedestrianactionbenchmark

Code and models for the WACV 2021 paper "Benchmark for evaluating pedestrian action prediction"

road-detection-and-vehicle-control

Road Segmentation by Fusing Images and Pointcloud's Surface-normal

sf-gru

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

social-distancing-monitoring

A Vision-based Social Distancing and Critical Density Detection System for COVID-19

transportation-resnet-10-classes-recognization-pytorch

Train our own transporation dataset in ResNet to obtain specific transportation objects classification model. The model is for further combining with LiDAR Bounding Boxes Tracking.

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