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self-driving-car-specialization

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Self -driving cars specialization by the university of toronto at coursera

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최종 버전 다운로드 (.zip)

- - 7TTXXSNW93VP.png
  - cover.gif
  - video.mp4
- - Lesson_1_Practice_Quiz.pdf
  - Lesson_2_Practice_Quiz.pdf
  - Module_1_Graded_Quiz.pdf
- - Module_2_Graded_Quiz.pdf
- - Module_3_Graded_Quiz.pdf
- - figure8.txt
  - Kinematic_Bicycle_Model.ipynb
  - Longitudinal_Vehicle_Model.ipynb
  - xdata.txt
- - Module_5_Graded_Quiz.pdf
- - Module_6_Graded_Quiz.pdf
- - trajectory.txt
- README.md
- - 92YGL6SRJ9EB.png
  - cover.png
- - Module_1_Graded_Quiz.pdf
- - assg_learner.ipynb
  - submission.pkl
- - Module_3_Graded_Quiz.pdf
- - Module_4_Graded_Quiz.pdf
- - pt1_submission.txt
  - pt2_submission.txt
  - pt3_submission.txt
- README.md
- - cover.gif
  - QE6H2TXLT2RG.png
- - Module_1_Graded_Quiz.pdf
- - m2bk.py
  - output.yaml
  - visual_odometry_for_localization_in_autonomous_driving.ipynb
- - Module_3_Graded_Quiz.pdf
- - Module_4_Graded_Quiz.pdf
- - Module_5_Graded_Quiz.pdf
- - output.yaml
- README.md
- - cover.gif
  - HXMRASY89B4X.png
  - video.mp4
- - Module_1_Graded_Quiz.pdf
- - Module_2_Assessment.ipynb
  - occ_grid_values.txt
- - Module_3_Graded_Quiz.pdf
- - Module_4_Graded_Quiz.pdf
- - Module_5_Graded_Quiz.pdf
- - Module_6_Graded_Quiz.pdf
- - collision_count.txt
  - trajectory.txt
- README.md
- cover.png
- LCV9UWM99C95.png
_config.yml
README.md

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# Self-Driving Cars Specialization

![Cover](https://raw.githubusercontent.com/deepanshut041/self-driving-car-specialization/master/media/cover.png)

## Content

- [Introduction to Self-Driving Cars](./01_introduction_to_self_driving_cars)
- [State Estimation and Localization for Self-Driving Cars](./02_state_estimation_and_localization)
- [Visual Perception for Self-Driving Cars](./03_visual_perception)
- [Motion Planning for Self-Driving Cars](./04_motion_planning)

## Objective

- Understand the detailed architecture and components of a self-driving car software stack.
- Implement methods for static and dynamic object detection, localization and mapping, behavior and maneuver planning, and vehicle control.
- Use realistic vehicle physics, complete sensor suite: camera, LIDAR, GPS/INS, wheel odometry, depth map, semantic segmentation, object bounding boxes.
- Demonstrate skills in CARLA and build programs with Python.

## Certificate

![Certificate](https://raw.githubusercontent.com/deepanshut041/self-driving-car-specialization/master/media/LCV9UWM99C95.png)