HOANG ANH HIEP bio photo

HOANG ANH HIEP

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Projects

Overview

Research Interests

I am passionate about various aspects of Computer Vision and Robotics, including:

  • 2D/3D Object Detection & Tracking
  • Panoptic & Semantic Segmentation
  • Point Cloud Reconstruction

Production Projects

[ADAS] 3D Object Detection
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[ADAS] 3D Object Detection

Key Features:
• End-to-end LiDAR-based detector
• Real-time visualization with predicted bounding boxes
• Multi-threaded pipeline for data loading, inference, and display

[ADAS] 3D Object Detection Tracking (Edge Device)
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[ADAS] 3D Object Detection & Tracking

Key Features:
• Fusion of LiDAR and camera data
• High-performance detection on edge devices
• Real-time SORT tracking with remote monitoring via websockets

[ADAS] 3D Point Cloud Scene Reconstruction
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[ADAS] 3D Point Cloud Scene Reconstruction

Key Features:
• Unified interface for multi-dataset support (NuScenes, DDAD, KITTI)
• Self-supervised learning without ground truth depth
• Integrated 3D visualization with CamViz

[ADAS] 2D Panoptic Segmentation
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[ADAS] 2D Panoptic Segmentation

Key Features:
• Real-time inference on PC and edge devices
• Multi-threaded architecture with teacher-student distillation
• Prototype web app built with Gradio

[ADAS] 2D Object Detection
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[ADAS] 2D Object Detection

Key Features:
• Fast, lightweight model on Jetson edge devices
• Real-time display with minimal latency
• Optimized for web prototyping with Gradio

[Smart Factory] 2D Multi-Cam Human Intrusion Detection
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[Smart Factory] Human Intrusion Detection

Key Features:
• Multi-camera surveillance system for industrial safety
• Real-time instance segmentation with high-speed processing
• Advanced multi-threading and multi-processing pipeline

Academia Research Projects

3D Object Detection with Spatial Shape Transformer
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3D Object Detection with Spatial Shape Transformer

A high-performance 3D detector using Transformer architecture, offering a deep understanding of object dimensions and spatial relationships.
[Paper]

3D Detector for Occluded Object
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3D Detector for Occluded Object

Utilizing a point-voxel based method, the framework produces high-quality 3D bounding boxes while preserving shape context.
[Paper]

Improving Object Shape of 3D Detector
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Improving Object Shape of 3D Detector

Enhancing object shape accuracy with innovative techniques and a lightweight quantized model.
[Paper]

Jumping Optimization for Quadruped Robot
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Jumping Optimization for Quadruped Robot

Optimizing jump trajectories using spatial methods on both Matlab and ROS platforms for agile robotics.
[Matlab Source] | [ROS Source]