Search Results for author:
Found 12 papers, 2 papers with code
LIX: Implicitly Infusing Spatial Geometric Prior Knowledge into Visual Semantic Segmentation for Autonomous Driving
We introduce the Learning to Infuse "X" (LIX) framework, with novel contributions in both logit distillation and feature distillation aspects.
SNE-RoadSegV2: Advancing Heterogeneous Feature Fusion and Fallibility Awareness for Freespace Detection
Feature-fusion networks with duplex encoders have proven to be an effective technique to solve the freespace detection problem.
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms
Existing road pothole detection approaches can be classified as computer vision-based or machine learning-based.
Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation
This paper presents an efficient pothole detection algorithm based on road disparity map estimation and segmentation.
Computer Stereo Vision for Autonomous Driving
As an important component of autonomous systems, autonomous car perception has had a big leap with recent advances in parallel computing architectures.
ATG-PVD: Ticketing Parking Violations on A Drone
In this paper, we introduce a novel suspect-and-investigate framework, which can be easily embedded in a drone for automated parking violation detection (PVD).
Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator
To evaluate the performance of our proposed SNE, we created three large-scale synthetic datasets (easy, medium and hard) using 24 3D mesh models, each of which is used to generate 1800--2500 pairs of depth images (resolution: 480X640 pixels) and the corresponding ground-truth surface normal maps from different views.
A Robust Pavement Mapping System Based on Normal-Constrained Stereo Visual Odometry
Pavement condition is crucial for civil infrastructure maintenance.
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation
This linear model is then utilized to reduce the redundant information in the left and right road images.
Pothole Detection Based on Disparity Transformation and Road Surface Modeling
Furthermore, the pothole detection accuracy is still far from satisfactory.
Key Ingredients of Self-Driving Cars
Over the past decade, many research articles have been published in the area of autonomous driving.
A Robust Roll Angle Estimation Algorithm Based on Gradient Descent
This paper presents a robust roll angle estimation algorithm, which is developed from our previously published work, where the roll angle was estimated from a dense disparity map by minimizing a global energy using golden section search algorithm.
