# OBCA_test
**Repository Path**: kin-zhang/obca_test
## Basic Information
- **Project Name**: OBCA_test
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-11-24
- **Last Updated**: 2021-11-24
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# OBCA
原分支见release,默认分支正在进行版本更新,虽然把错误都改过来了 但是好像无法求解出结果。
后面有下载了一波0.6.0 的julia但是那个版本的julia package已经不更新了 甚至不能拉下来下载。 等待... 修bug吧 虽然从整个过程中来讲应该没啥问题
Optimization-Based Collision Avoidance - a path planner for autonomous navigation
Paper describing the theory can be found [here](http://arxiv.org/abs/1711.03449).
*Note*: An OBCA version specialized towards autonomous parking can be found at [H-OBCA](https://github.com/XiaojingGeorgeZhang/H-OBCA).
## Short Description
OBCA is a novel method for formulating collision avoidance constraints. It provides a smooth reformulation of collision avoidance constraints, allowing the use of generic non-linear optimization solvers.
OBCA can be used to in path planning algorithms to generate *high-quality paths* that satisfy the system dynamics as well as satefy constraints. We provide [Julia](https://julialang.org/)-based implementations for a quadcopter navigation problem and for autonomous parking problems.
## Examples
### OBCA for Quadcopter Navigation
### OBCA for Autonomous Parking
#### Backwards Parking
#### Parallel Parking
#### Parking of Truck with Trailer
