# object-detection-for-center

**Repository Path**: chenhengwei/object-detection-for-center

## Basic Information

- **Project Name**: object-detection-for-center
- **Description**: object-detection-for-center
- **Primary Language**: C++
- **License**: MulanPSL-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2023-02-07
- **Last Updated**: 2024-01-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Object-detection-for-center

In this repositiry, we will deploy some detection models that can be run directly, provided that the corresponding environment is configured according to the corresponding documentation. The objects of target detection are mainly vehicles, pedestrians, lane lines, traffic lights, etc. The file directory is as follows:

- 1_machine_learning_based_method

    - 1_lidar_obstacle_detector

- 2_deep_learning_based_method

    - 1_pointpillar_with_tensorrt

```{note}
As indicated by the file name, current work can mainly be divided into 
branch tasks based on machine learning and deep learning. The usage of
the specific detection scheme will be stored in the relative doc folder.
The doc will contain the dependencies, development environment, etc.
The program to run. For example under the 1_lidar_obstacle_detector
sub-directory, there will be README.md placed.
```


# TODO list

The current task mainly focuses on detecting pedestrians, vehicles, etc., and there will be more, more complex, and meaningful detection projects in the future. The key points will involve the following content:

- lane boundary detection

- travelable area detection

- traffic light recognition

- Multi sensor fusion 

# Develop

You are very welcome to propose more innovative methods. We can continuously discuss and obtain the latest information.