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Found 8 papers, 2 papers with code
Real Time Monocular Vehicle Velocity Estimation using Synthetic Data
Vision is one of the primary sensing modalities in autonomous driving.
Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views
We present a system for automatic converting of 2D mask object predictions and raw LiDAR point clouds into full 3D bounding boxes of objects.
Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera
Predicting future pedestrian trajectory is a crucial component of autonomous driving systems, as recognizing critical situations based only on current pedestrian position may come too late for any meaningful corrective action (e. g. breaking) to take place.
Calibrating Self-supervised Monocular Depth Estimation
In the recent years, many methods demonstrated the ability of neural networks to learn depth and pose changes in a sequence of images, using only self-supervision as the training signal.
Monocular Depth Estimation with Self-supervised Instance Adaptation
Recent advances in self-supervised learning havedemonstrated that it is possible to learn accurate monoculardepth reconstruction from raw video data, without using any 3Dground truth for supervision.
Deep TextSpotter: An End-To-End Trainable Scene Text Localization and Recognition Framework
A method for scene text localization and recognition is proposed.
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
The goal of COCO-Text is to advance state-of-the-art in text detection and recognition in natural images.
FASText: Efficient Unconstrained Scene Text Detector
After a novel efficient classification step, the number of regions is reduced to 7 times less than the standard method and is still almost 3 times faster.
