Enhancing Longitudinal Velocity Control With Attention Mechanism-Based Deep Deterministic Policy Gradient (DDPG) for Safety and Comfort
The transportation system is moving towards higher levels of autonomy. Longitudinal speed
control, or adaptive cruise control (ACC), is intended to provide driver assistance by …
control, or adaptive cruise control (ACC), is intended to provide driver assistance by …
Probabilistic model-based active learning with attention mechanism for fish species recognition
Accurate fish species identification is essential for stock assessments, production
management, document ecosystem changes, and protection of endangered species. Image …
management, document ecosystem changes, and protection of endangered species. Image …
[BOEK][B] Traffic light detection and V2I communications of an autonomous vehicle with the traffic light for an effective intersection navigation using MAVS simulation
M Rahman - 2023 - search.proquest.com
Intersection Navigation plays a significant role in autonomous vehicle operation. This paper
focuses on enhancing autonomous vehicle intersection navigation through advanced …
focuses on enhancing autonomous vehicle intersection navigation through advanced …
Traffic light recognition and V2I communications of an autonomous vehicle with the traffic light for effective intersection navigation using YOLOv8 and MAVS simulation
We integrate advanced computer vision and Vehicle-to-Infrastructure (V2I) communication
systems for effective intersection navigation. In the first phase, the YOLOv8 deep learning …
systems for effective intersection navigation. In the first phase, the YOLOv8 deep learning …
Evaluate the performance of attention DDPG-based adaptive cruise control system in all weather conditions
Adaptive Cruise Control (ACC) is one of the common advanced driving features that aims to
assist the driver from fatigue. A lot of models for ACC are available, such as Proportional …
assist the driver from fatigue. A lot of models for ACC are available, such as Proportional …
CNN-based end-to-end learning for lane centering
Lane centering is a significant feature in the automotive industry and an important feature for
advanced or autonomous vehicles, providing assistance to help drivers stay in their lane …
advanced or autonomous vehicles, providing assistance to help drivers stay in their lane …
Inconsistency-based active learning with adaptive pseudo-labeling for fish species identification
The deep neural network has found widespread application in object detection due to its
high accuracy. However, its performance typically depends on the availability of a …
high accuracy. However, its performance typically depends on the availability of a …