omnigeeker / mlnd_DeepTeslaLinks
使用深度学习的方法,给特斯拉汽车学习端对端的自动驾驶,本项目利用MIT 6.S094 这门公开课中的Tesla数据集训练深度学习模型,根据车辆的前置相机所拍摄的路况图像,实现对车辆转向角度的预测。(本项目还未完成)
☆54Updated 4 years ago
Alternatives and similar repositories for mlnd_DeepTesla
Users that are interested in mlnd_DeepTesla are comparing it to the libraries listed below
Sorting:
- 使用树莓派3b来实现无人驾驶汽车☆274Updated 6 years ago
- Vehicle Detection Project☆119Updated 7 years ago
- 用yolo2来识别车辆 identify vehicles with yolo2☆46Updated 7 years ago
- 基于yolov3的红绿灯检测☆19Updated 6 years ago
- Advanced Driver Assistance System☆75Updated 4 years ago
- 车道线检测☆82Updated 8 years ago
- ☆33Updated 7 years ago
- 模拟自动驾驶Use TensorFlow and openCV☆44Updated 7 years ago
- ADAS高级辅助驾驶的一些项目源码,包括LDW车道偏离预警、前车起步提醒等☆218Updated 6 years ago
- ☆35Updated 6 years ago
- ☆258Updated 7 years ago
- ☆78Updated 7 years ago
- Using Perspective Transform to leverage bird's eye view (BEV) to estimate distance between objects.☆75Updated 5 years ago
- ☆348Updated 7 years ago
- 道路识别☆30Updated 6 years ago
- Advance_LaneFinding☆92Updated 7 years ago
- ☆44Updated 7 years ago
- Advanced Driver Assistance System☆67Updated 8 years ago
- 基于计算机视觉,路面分析,及交通路况识别的车辆辅助驾驶系统☆21Updated 7 years ago
- Lane detection and tracking☆125Updated last year
- DIY_resnet+迁移学习+风格迁移☆18Updated 6 years ago
- 应用强化学习在复杂的交通环境下自动学习最佳驾驶策略的方案,在测试环境下准确率达到100%。☆20Updated 8 years ago
- 论文《 公共汽车行驶参数建模及优秀驾驶 行为挖掘方法研究》相关程序及数据集,摘要:通过采集公共汽车行驶参数,建立优秀驾驶行为分析模型,可以为驾驶司机提供一种优秀驾车的指导方法;优秀驾驶行为分析模型建立是关键,本文通过建立基于先验规则优秀驾驶行为分析模型和基于聚类分析的优秀驾…☆48Updated 6 months ago
- 60_Days_RL_Challenge中文版☆156Updated 7 years ago
- ☆142Updated 7 years ago
- 基于树莓派的自动驾驶小车,利用树莓派和tensorflow实现小车在赛道的自动驾驶。(Self-driving car based on raspberry pi(tensorflow))☆1,109Updated 5 years ago
- 个人维护的《Python大战机器学习:数据科学家的一个小目标》对应的源码;IDE:PyCharm☆18Updated 7 years ago
- Udacity Selft-Driving Car Engineer Nano Degree Project 2☆40Updated 3 years ago
- Traffic light classify☆35Updated 7 years ago
- Baidu Apollo Learning☆21Updated 5 years ago