（转）Autonomous_Vehicle_Paper_Reading_List

Autonomous_Vehicle_Paper_Reading_List

2018-07-19 10:40:08

Reference：https://github.com/ZRZheng/Autonomous_Vehicle_Paper_Reading_List

A collection of papers focus on self-driving car. Many topics are covered including system architecture,computer vison, sensor fusion,planning&control and SLAM. The paper list will be timely updated.

System architecture

• Junior: The Stanford Entry in the Urban Challenge [pdf]
• Towards Fully Autonomous Driving: Systems and Algorithms [pdf]
• Autonomous Driving in Urban Environments: Boss and the Urban Challenge [pdf]
• A Perception-Driven Autonomous Urban Vehicle [pdf]
• Making Bertha Drive—An Autonomous Journey on a Historic Route [pdf]
• Towards Full Automated Drive in Urban Environments:A Demonstration in GoMentum Station, California [pdf]

Computer vision

• Computer Vision for Autonomous Vehicles:Problems, Datasets and State-of-the-Art [pdf]
• Video Scene Parsing with Predictive Feature Learning[pdf]
• Unsupervised Monocular Depth Estimation with Left-Right Consistency [pdf]
• Learning a Driving Simulator [pdf]
• Deep Tracking:Seeing Beyond Seeing Using Recurrent Neural Networks [pdf]
• End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks [pdf]
• Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks [pdf]
• Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image    [pdf]
• 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection [pdf]
• On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training [pdf]
• End to End Learning for Self-Driving Cars [pdf]
• Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car [pdf]
• DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving [pdf]
• End-to-end Learning of Driving Models from Large-scale Video Datasets [pdf]
• Fully Convolutional Networks for Semantic Segmentation [pdf]
• SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation[pdf]
• Feature Pyramid Networks for Object Detection[pdf]
• Mask R-CNN [pdf]
• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks[pdf]
• Fast R-CNN [pdf]
• You Only Look Once:Unified, Real-Time Object Detection [pdf]
• YOLO9000: Better,Faster, Stronger  [pdf]
• SSD: Single Shot MultiBox Detector [pdf]
• R-FCN: Object Detection via Region-based Fully Convolutional Networks [pdf]
• Predicting Deeper into the Future of Semantic Segmentation [pdf]
• Geometry-Based Next Frame Prediction from Monocular Video [pdf]
• Long-term Recurrent Convolutional Networks for Visual Recognition and Description [pdf]
• MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving [pdf]
• Beyond Skip Connections: Top-Down Modulation for Object Detection [pdf]
• Traffic Sign Recognition with Multi-Scale Convolutional Networks [pdf]
• Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs? [pdf]
• Pyramid Scene Parsing Network  [pdf]
• Brain Inspired Cognitive Model with Attention for Self-Driving Cars [pdf]
• Image-to-Image Translation with Conditional Adversarial Networks [pdf]
• Unsupervised Image-to-Image Translation Networks [pdf]
• A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection[pdf]
• Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers [pdf]
• Multi-Class Multi-Object Tracking using Changing Point Detection[pdf]
• Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection[pdf]
• Overview of Environment Perception for Intelligent Vehicles[pdf]
• An Empirical Evaluation of Deep Learning on Highway Driving [pdf]
• Histograms of Oriented Gradients for Human Detection [pdf]

Sensor fusion

• LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks [pdf]
• A vision-centered multi-sensor fusing approach to self-localization and obstacle perception for robotic cars [pdf]
• Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture [pdf]
• Multi-View 3D Object Detection Network for Autonomous Driving [pdf]
• VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem [pdf]
• Vehicle Detection from 3D Lidar Using Fully Convolutional Network[pdf]
• Detecting Drivable Area for Self-driving Cars:An Unsupervised Approach [pdf]

Motion planning & Reinforcement learning

• A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles[pdf]
• A Review of Motion Planning Techniques for Automated Vehicles [pdf]
• Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions [pdf]
• A survey on motion prediction and risk assessment for intelligent vehicles [pdf]
• End-to-End Deep Reinforcement Learning for Lane Keeping Assist [pdf]
• Deep Reinforcement Learning framework for Autonomous Driving [pdf]
• Continuous control with deep reinforcement learning [pdf]
• Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks [pdf]
• Long-term Planning by Short-term Prediction [pdf]
• Safe,Multi-Agent, Reinforcement Learning for Autonomous Driving [pdf]
• Large-scale cost function learning for path planning using deep inverse reinforcement learning [pdf]
• Human-like Planning of Swerve Maneuvers for Autonomous Vehicles [pdf]
• Virtual to Real Reinforcement Learning for Autonomous Driving [pdf]
• Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation [pdf]
• A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning [pdf]
• Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning [pdf]
• Characterizing Driving Styles with Deep Learning [pdf]
• Learning Where to Attend Like a Human Driver [pdf]
• Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network [pdf]

SLAM

• Past, Present, and Future of Simultaneous ocalization and Mapping: Toward theRobust-PerceptionAge [pdf]
• Learning from Maps: Visual Common Sense for Autonomous Driving [pdf]
• A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles [pdf]
• Image-based localization using LSTMs for structured feature correlation [pdf]
• PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization[pdf]