Journals starting with auto

AutoDrive13 * *Autonomous Driving
* Integrated Pedestrian and Direction Classification Using a Random Decision Forest
* Making Bertha See
* Priors for Stereo Vision under Adverse Weather Conditions
* Spatio-temporal Good Features to Track
* Visual Odometry by Multi-frame Feature Integration

AutoDrive18 * *Autonomous Driving
* Accurate Deep Direct Geo-Localization from Ground Imagery and Phone-Grade GPS
* ApolloScape Dataset for Autonomous Driving, The
* AutonoVi-Sim: Autonomous Vehicle Simulation Platform with Weather, Sensing, and Traffic Control
* Classifying Group Emotions for Socially-Aware Autonomous Vehicle Navigation
* Detection of Distracted Driver Using Convolutional Neural Network
* Efficient and Safe Vehicle Navigation Based on Driver Behavior Classification
* Error Correction for Dense Semantic Image Labeling
* Learning Hierarchical Models for Class-Specific Reconstruction from Natural Data
* Minimizing Supervision for Free-Space Segmentation
* On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
* On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation
* Scene Understanding Networks for Autonomous Driving Based on Around View Monitoring System
* Subset Replay Based Continual Learning for Scalable Improvement of Autonomous Systems
* Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
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AutoDrive20 * *Autonomous Driving
* End-to-End Lane Marker Detection via Row-wise Classification
* Extensible Multi-Sensor Fusion Framework for 3D Imaging, An
* Feudal Steering: Hierarchical Learning for Steering Angle Prediction
* Learning Depth-Guided Convolutions for Monocular 3D Object Detection
* Self-supervised Object Motion and Depth Estimation from Video
* SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
* Topometric Imitation Learning For Route Following Under Appearance Change
* Wasserstein Loss based Deep Object Detection
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Automatica(37) * Computationally efficient steadystate multiscale estimation for 1-d diffusion processes

AutoNUE18 * *AutoNUE: Autonomous Navigation in Unconstrained Environments
* 3D Bounding Boxes for Road Vehicles: A One-Stage, Localization Prioritized Approach Using Single Monocular Images
* Driving Data Collection Framework Using Low Cost Hardware
* Learning Driving Behaviors for Automated Cars in Unstructured Environments
* MASON: A Model AgnoStic ObjectNess Framework
* Motion Segmentation Using Spectral Clustering on Indian Road Scenes
* Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
* Object Detection at 200 Frames per Second
* Real-Time Dynamic Object Detection for Autonomous Driving Using Prior 3D-Maps
* Removal of Visual Disruption Caused by Rain Using Cycle-Consistent Generative Adversarial Networks
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AutoNUE19 * *AutoNUE: Autonomous Navigation in Unconstrained Environments
* Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras
* Large Scale Multimodal Data Capture, Evaluation and Maintenance Framework for Autonomous Driving Datasets
* Motion Segmentation via Synchronization
* Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head
* On Generalizing Detection Models for Unconstrained Environments
* Real-Time Vehicle Localization using on-Board Visual SLAM for Detection and Tracking
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AutoRob17 * *Vision in Practice on Autonomous Robots
* CAD: Scale Invariant Framework for Real-Time Object Detection
* Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions
* Deterministic Policy Gradient Based Robotic Path Planning with Continuous Action Spaces
* Is Deep Learning Safe for Robot Vision? Adversarial Examples Against the iCub Humanoid
* Learning to Segment Affordances
* Lightweight Monocular Obstacle Avoidance by Salient Feature Fusion
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AutoSystems14 * *Computer Vision for Autonomous Systems
* Biologically Inspired Composite Vision System for Multiple Depth-of-field Vehicle Tracking and Speed Detection
* Combining Multiple Shape Matching Techniques with Application to Place Recognition Task
* Large-Scale Indoor/Outdoor Image Classification via Expert Decision Fusion (EDF)
* Model-Based Approach for Fast Vehicle Detection in Continuously Streamed Urban LIDAR Point Clouds, A
* Robust Maximum Margin Correlation Tracking
* Salient Object Detection via Saliency Spread
* Scene Classification by Feature Co-occurrence Matrix
* Scene Parsing and Fusion-Based Continuous Traversable Region Formation
* Search Guided Saliency
* Surface Prediction for a Single Image of Urban Scenes
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Index for "a"

Last update:31-Aug-23 11:06:24
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