{"id":18775092,"url":"https://github.com/mk-armah/nvidia-sdc-research-2016","last_synced_at":"2026-04-10T20:46:42.129Z","repository":{"id":171302164,"uuid":"472867032","full_name":"mk-armah/Nvidia-SDC-research-2016","owner":"mk-armah","description":"This repository is the first in the Journey of Electric Vehicle Research and Development.","archived":false,"fork":false,"pushed_at":"2022-04-20T08:56:21.000Z","size":340,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-12-29T09:15:29.694Z","etag":null,"topics":["artificial-intelligence","computer-vision","deep-learning","machine-learning","robotics"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mk-armah.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-03-22T17:26:29.000Z","updated_at":"2022-04-20T08:56:24.000Z","dependencies_parsed_at":null,"dependency_job_id":"9dc78b4e-ce56-4e43-b282-9811dbae7597","html_url":"https://github.com/mk-armah/Nvidia-SDC-research-2016","commit_stats":null,"previous_names":["mk-armah/nvidia-sdc-research-2016"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mk-armah%2FNvidia-SDC-research-2016","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mk-armah%2FNvidia-SDC-research-2016/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mk-armah%2FNvidia-SDC-research-2016/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mk-armah%2FNvidia-SDC-research-2016/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mk-armah","download_url":"https://codeload.github.com/mk-armah/Nvidia-SDC-research-2016/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239682096,"owners_count":19679701,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["artificial-intelligence","computer-vision","deep-learning","machine-learning","robotics"],"created_at":"2024-11-07T19:40:22.546Z","updated_at":"2026-04-10T20:46:37.095Z","avatar_url":"https://github.com/mk-armah.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# EV-Research and Development - #1\n----\n\nThis repository is the first in the Journey of Self Driving Feature Research and Development.\n\n\n### End to End Learning for Self Driving Cars.\nThe Idea is to Implement a Research Paper Released By Mariussz Bojarski and The Nvidia Team - \"End to End Learning For Self Driving Cars\" For Self Driving Feature Prototyping.\nA CNN is trained to map raw pixels from a single front-facing camera directly to steering commands.\n\n# Why This Paper ?\nThis paper is a good start for Self Driving Technology Research since it utilizes a simple CNN Architecture to achieve state of the art performance.\nThe modern Self Driving Car usually utilizes complex Sensors such as Lidars and Radars along side multiple camera system integrations making it very difficult to implement without knowledge in Sensor Fusion and Robotics.\nThis Network eliminates all that hustle with a single camera integration.\n\n## Model Architecture\n![nvidea-end to end learning for self driving cars - archticture](https://user-images.githubusercontent.com/85971733/159633719-26fc26c7-4989-4f35-b28f-f7a7b2205f1c.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmk-armah%2Fnvidia-sdc-research-2016","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmk-armah%2Fnvidia-sdc-research-2016","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmk-armah%2Fnvidia-sdc-research-2016/lists"}