Visual perception enabled industry intelligence: state of the art, challenges and prospects
Visual perception refers to the process of organizing, identifying, and interpreting visual
information in environmental awareness and understanding. With the rapid progress of …
information in environmental awareness and understanding. With the rapid progress of …
Toward autonomous vehicles and machinery in mill yards of the forest industry: Technologies and proposals for autonomous vehicle operations
The use of autonomous systems at wood processing sites of forest industries can
significantly increase safety, productivity and efficiency by reducing the number of …
significantly increase safety, productivity and efficiency by reducing the number of …
Self-supervised drivable area and road anomaly segmentation using rgb-d data for robotic wheelchairs
The segmentation of drivable areas and road anomalies are critical capabilities to achieve
autonomous navigation for robotic wheelchairs. The recent progress of semantic …
autonomous navigation for robotic wheelchairs. The recent progress of semantic …
Enhanced free space detection in multiple lanes based on single CNN with scene identification
Many systems for autonomous vehicles' navigation rely on lane detection. Traditional
algorithms usually estimate only the position of the lanes on the road, but an autonomous …
algorithms usually estimate only the position of the lanes on the road, but an autonomous …
Camera–Lidar sensor fusion for drivable area detection in winter weather using convolutional neural networks
Autonomous vehicles rely on perceiving the road environment through a perception pipeline
fed by a variety of sensor modalities, including camera, lidar, radar, infrared, gated camera …
fed by a variety of sensor modalities, including camera, lidar, radar, infrared, gated camera …
[HTML][HTML] A multi-layer collaboration framework for industrial parks with 5G vehicle-to-everything networks
Abstract The fifth-generation (5G) wireless communication networks are expected to play an
essential role in the transformation of vertical industries. Among many exciting applications …
essential role in the transformation of vertical industries. Among many exciting applications …
D3NET (divide and detect drivable area net): deep learning based drivable area detection and its embedded application
Drivable area detection is an important component of various levels of autonomous driving
starting from advanced driver assistance systems (ADAS) to fully automated vehicles. A …
starting from advanced driver assistance systems (ADAS) to fully automated vehicles. A …
TADAP: Trajectory-Aided Drivable area Auto-labeling with Pretrained self-supervised features in winter driving conditions
Detection of the drivable area in all conditions is crucial for autonomous driving and
advanced driver assistance systems. However, the amount of labeled data in adverse …
advanced driver assistance systems. However, the amount of labeled data in adverse …
TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving
S Das, H Patibandla, S Bhattacharya… - Proceedings of the …, 2021 - openaccess.thecvf.com
Training vision-based Autonomous driving models is a challenging problem with enormous
practical implications. One of the main challenges is the requirement of storage and …
practical implications. One of the main challenges is the requirement of storage and …
A framework for drivable area detection via point cloud double projection on rough roads
F Xu, H Liang, Z Wang, L Lin - Journal of Intelligent & Robotic Systems, 2021 - Springer
Drivable area detection is one of the essential functions of autonomous vehicles. However,
due to the complexity and diversity of unknown environments, it remains a challenge …
due to the complexity and diversity of unknown environments, it remains a challenge …