2024年自动驾驶大量资料_brain4cars，物联网嵌入式开发开发者出路在哪

收集整理了一份《2024年最新物联网嵌入式全套学习资料》，初衷也很简单，就是希望能够帮助到想自学提升的朋友。

如果你需要这些资料，可以戳这里获取

一个人可以走的很快，但一群人才能走的更远！不论你是正从事IT行业的老鸟或是对IT行业感兴趣的新人

都欢迎加入我们的的圈子（技术交流、学习资源、职场吐槽、大厂内推、面试辅导），让我们一起学习成长！

• intro: NVIDIA DevBox and Torch 7, 30 FPS
• arxiv: http://arxiv.org/abs/1604.07316
• blog: https://devblogs.nvidia.com/parallelforall/deep-learning-self-driving-cars/
• demo: https://www.youtube.com/watch?v=NJU9ULQUwng&feature=youtu.be
• github: https://github.com/SullyChen/Nvidia-Autopilot-TensorFlow

End-to-End Deep Learning for Self-Driving Cars

• blog: https://devblogs.nvidia.com/parallelforall/deep-learning-self-driving-cars/

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Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs?

• arxiv: http://arxiv.org/abs/1607.00971

BRAIN4CARS: Cabin Sensing for Safe and Personalized Driving

Brain4Cars: Sensory-Fusion Recurrent Neural Models for Driver Activity Anticipation

Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture

• arxiv: http://arxiv.org/abs/1601.00740

Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models

• arxiv: http://arxiv.org/abs/1504.02789
• github: https://github.com/asheshjain399/ICCV2015_Brain4Cars

Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture

• project page: http://www.brain4cars.com/
• arxiv: http://arxiv.org/abs/1509.05016
• github: https://github.com/asheshjain399/RNNexp

Long-term Planning by Short-term Prediction

• arxiv: http://arxiv.org/abs/1602.01580

Learning a Driving Simulator

• introo: by hacker Geohot
• project page: http://research.comma.ai/
• arxiv: http://arxiv.org/abs/1608.01230
• paper: https://github.com/commaai/research/blob/master/paper/commalds.pdf
• github: https://github.com/commaai/research

Comma.ai open-sources the data it used for its first successful driverless trips

• blog: https://techcrunch.com/2016/08/03/comma-ai-open-sources-the-data-it-used-for-its-first-successful-driverless-trips/

Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network

• arxiv: http://arxiv.org/abs/1609.00361

Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

• arxiv: https://arxiv.org/abs/1610.03295

Learning from Maps: Visual Common Sense for Autonomous Driving

• arxiv: https://arxiv.org/abs/1611.08583

SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks

• intro: Accepted at the Deep Learning for Action and Interaction Workshop, 30th Conference on Neural Information Processing Systems (NIPS 2016)
• arxiv: https://arxiv.org/abs/1611.08788

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

• intro: first place on Kitti Road Segmentation. joint classification, detection and semantic segmentation via a unified architecture, less than 100 ms to perform all tasks
• arxiv: https://arxiv.org/abs/1612.07695
• github: https://github.com/MarvinTeichmann/MultiNet

Projects

Caffe-Autopilot: Car autopilot software that uses C++, BVLC Caffe, OpenCV, and SFML

• github: https://github.com/SullyChen/Caffe-Autopilot

Self Driving Car Demo

• intro; A project that trains a virtual car to how to move an object around a screen (drive itself) without running into obstacles using a type of reinforcement learning called Q-Learning
• github: https://github.com/llSourcell/Self-Driving-Car-Demo/

Autoware: Open-source software for urban autonomous driving

• github: https://github.com/CPFL/Autoware

Open Sourcing 223GB of Driving Data

• homepage: https://udacity.com/self-driving-car
• blog: https://medium.com/udacity/open-sourcing-223gb-of-mountain-view-driving-data-f6b5593fbfa5#.q8nk5bfpp
• github: https://github.com/udacity/self-driving-car

Machine Learning for RC Cars

• github: https://github.com/kendricktan/suiron

Self Driving (Toy) Ferrari

• github: https://github.com/RyanZotti/Self-Driving-Car

Lane Finding Project for Self-Driving Car ND

• github: https://github.com/udacity/CarND-LaneLines-P1

Instructions on how to get your development environment ready for Udacity Self Driving Car (SDC) Challenges

• github: https://github.com/gtarobotics/self-driving-car

DeepDrive: self-driving car AI

• intro: Caffe Model / Dataset / Tips and Tricks
• homepage: http://deepdrive.io/

DeepDrive setup: Run a self-driving car simulator from the comfort of your own PC

• github: https://github.com/crizCraig/deepdrive

DeepTesla: End-to-End Learning from Human and Autopilot Driving

http://selfdrivingcars.mit.edu/deeptesla/

Blogs

Self-driving cars: How far away are we REALLY from autonomous cars?(7 Aug 2015)

http://www.alphr.com/cars/1001329/self-driving-cars-how-far-away-are-we-really-from-autonomous-cars

Practice makes perfect: Driverless cars will learn from their mistakes(9 Oct 2015)

http://www.alphr.com/cars/1001713/practice-makes-perfect-driverless-cars-will-learn-from-their-mistakes

Eyes on the Road: How Autonomous Cars Understand What They’re Seeing

• blog: http://blogs.nvidia.com/blog/2016/01/05/eyes-on-the-road-how-autonomous-cars-understand-what-theyre-seeing/

既有适合小白学习的零基础资料，也有适合3年以上经验的小伙伴深入学习提升的进阶课程，涵盖了95%以上物联网嵌入式知识点，真正体系化！

由于文件比较多，这里只是将部分目录截图出来，全套包含大厂面经、学习笔记、源码讲义、实战项目、大纲路线、电子书籍、讲解视频，并且后续会持续更新

如果你需要这些资料，可以戳这里获取

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既有适合小白学习的零基础资料，也有适合3年以上经验的小伙伴深入学习提升的进阶课程，涵盖了95%以上物联网嵌入式知识点，真正体系化！

由于文件比较多，这里只是将部分目录截图出来，全套包含大厂面经、学习笔记、源码讲义、实战项目、大纲路线、电子书籍、讲解视频，并且后续会持续更新

如果你需要这些资料，可以戳这里获取