Task-driven deep image enhancement network for autonomous driving in bad weather
Visual perception in autonomous driving is a crucial part of a vehicle to navigate safely and
sustainably in different traffic conditions. However, in bad weather such as heavy rain and …
sustainably in different traffic conditions. However, in bad weather such as heavy rain and …
Software/hardware co-design for multi-modal multi-task learning in autonomous systems
Optimizing the quality of result (QoR) and the quality of service (QoS) of AI-empowered
autonomous systems simultaneously is very challenging. First, there are multiple input …
autonomous systems simultaneously is very challenging. First, there are multiple input …
Recent Advances in Machine Learning Based Advanced Driver Assistance System Applications
In recent years, the rise of traffic in modern cities has demanded novel technology to support
the drivers and protect the passengers and other third parties involved in transportation …
the drivers and protect the passengers and other third parties involved in transportation …
Naturalistic driving scenario recognition with multimodal data
Driving Scenario recognition is one fundamental technology of automated driving systems or
advanced driver assistance systems. A common practice of driving scenario recog-nition is …
advanced driver assistance systems. A common practice of driving scenario recog-nition is …
Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification
Road-safety inspection is an indispensable instrument for reducing road-accident fatalities
related to road infrastructure. Recent work formalizes the assessment procedure in terms of …
related to road infrastructure. Recent work formalizes the assessment procedure in terms of …
Perception-friendly video enhancement for autonomous driving under adverse weather conditions
Visual perception of an autonomous vehicle is a crucial component of autonomous driving
technologies. While visual perception research has achieved promising performance in …
technologies. While visual perception research has achieved promising performance in …
Intelligent path planning and obstacle avoidance algorithms for autonomous vehicles based on enhanced rrt algorithm
P Ren, S Chen, H Fu - 2021 6th International Conference on …, 2021 - ieeexplore.ieee.org
This manuscript studies the intelligent path planning and obstacle avoidance algorithms for
autonomous vehicles based on enhanced RRT algorithm. The selection of the optimal path …
autonomous vehicles based on enhanced RRT algorithm. The selection of the optimal path …
Self-supervised attribute-aware refinement network for low-quality text recognition
Scene texts collected from unconstrained environments encompass various types of
degradation, including low-resolution, cluttered backgrounds, and irregular shapes. Training …
degradation, including low-resolution, cluttered backgrounds, and irregular shapes. Training …