CVRoads14
* *Computer Vision for Road Scene Understanding and Autonomous Driving
* Fast 3-D Urban Object Detection on Streaming Point Clouds
* Good Edgels to Track: Beating the Aperture Problem with Epipolar Geometry
* Relative Pose Estimation and Fusion of Omnidirectional and Lidar Cameras
* Ten Years of Pedestrian Detection, What Have We Learned?
CVRoads15
* *Computer Vision for Road Scene Understanding and Autonomous Driving
* Direct Visual Localisation and Calibration for Road Vehicles in Changing City Environments
* Goal-Directed Pedestrian Prediction
* Latent Hierarchical Part Based Models for Road Scene Understanding
* Position Interpolation Using Feature Point Scale for Decimeter Visual Localization
* Semantic Mapping of Large-Scale Outdoor Scenes for Autonomous Off-Road Driving
* Sequential Score Adaptation with Extreme Value Theory for Robust Railway Track Inspection
* Statistics of Driving Sequences -- And What We Can Learn from Them, The
8 for CVRoads15
CVRoads16
* *Computer Vision for Road Scene Understanding and Autonomous Driving
* Aerial Scene Understanding Using Deep Wavelet Scattering Network and Conditional Random Field
* Automatic Blind Spot Camera: A Vision-Based Active Alarm System, The
* Extracting Driving Behavior: Global Metric Localization from Dashcam Videos in the Wild
* From On-Road to Off: Transfer Learning Within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes
* Fusing Convolutional Neural Networks with a Restoration Network for Increasing Accuracy and Stability
* Global Scale Integral Volumes
* Joint Optical Flow and Temporally Consistent Semantic Segmentation
* Monocular Visual-IMU Odometry: A Comparative Evaluation of the Detector-Descriptor Based Methods
* Real-Time Semantic Segmentation with Label Propagation
* Recognizing Text-Based Traffic Guide Panels with Cascaded Localization Network
* Road Segmentation for Classification of Road Weather Conditions
12 for CVRoads16
CVRoads17
* *Computer Vision for Road Scene Understanding and Autonomous Driving
* Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior
* Detecting Nonexistent Pedestrians
* Distantly Supervised Road Segmentation
* Eliminating the Observer Effect: Shadow Removal in Orthomosaics of the Road Network
* Fast Vehicle Detector for Autonomous Driving
* Fusing Geometry and Appearance for Road Segmentation
* Going Deeper: Autonomous Steering with Neural Memory Networks
* HyKo: A Spectral Dataset for Scene Understanding
* Improving a Real-Time Object Detector with Compact Temporal Information
* Ladder-Style DenseNets for Semantic Segmentation of Large Natural Images
* Large Scale Labelled Video Data Augmentation for Semantic Segmentation in Driving Scenarios
* Real-Time Category-Based and General Obstacle Detection for Autonomous Driving
* Risky Region Localization with Point Supervision
14 for CVRoads17
CVRoads18
* *Computer Vision for Road Scene Understanding and Autonomous Driving
* Complex-YOLO: An Euler-Region-Proposal for Real-Time 3D Object Detection on Point Clouds
* Distant Vehicle Detection: How Well Can Region Proposal Networks Cope with Tiny Objects at Low Resolution?
* EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection
* Exploiting Single Image Depth Prediction for Mono-stixel Estimation
* It's Not All About Size: On the Role of Data Properties in Pedestrian Detection
* Real-Time Point Cloud Alignment for Vehicle Localization in a High Resolution 3D Map
* Scale Drift Correction of Camera Geo-Localization Using Geo-Tagged Images
* Semantic Segmentation of Fisheye Images
9 for CVRoads18