# 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