Trends and emerging technologies for the development of electric vehicles
T Mo, Y Li, K Lau, CK Poon, Y Wu, Y Luo - Energies, 2022 - mdpi.com
In response to severe environmental and energy crises, the world is increasingly focusing
on electric vehicles (EVs) and related emerging technologies. Emerging technologies for …
on electric vehicles (EVs) and related emerging technologies. Emerging technologies for …
Canopy-attention-YOLOv4-based immature/mature apple fruit detection on dense-foliage tree architectures for early crop load estimation
Accurate detection of both immature and mature apples in orchard environments is essential
for early crop load management. A near real-time method is proposed in this study for …
for early crop load management. A near real-time method is proposed in this study for …
NMPC trajectory planner for urban autonomous driving
F Micheli, M Bersani, S Arrigoni, F Braghin… - Vehicle system …, 2023 - Taylor & Francis
This paper presents a trajectory planner for autonomous driving based on a Nonlinear
Model Predictive Control (NMPC) algorithm that accounts for Pacejka's nonlinear lateral tyre …
Model Predictive Control (NMPC) algorithm that accounts for Pacejka's nonlinear lateral tyre …
Detection of dense Citrus fruits by combining coordinated attention and cross-scale connection with weighted feature fusion
X Liu, G Li, W Chen, B Liu, M Chen, S Lu - Applied Sciences, 2022 - mdpi.com
The accuracy detection of individual citrus fruits in a citrus orchard environments is one of
the key steps in realizing precision agriculture applications such as yield estimation, fruit …
the key steps in realizing precision agriculture applications such as yield estimation, fruit …
Vehicle teleoperation: Human in the loop performance comparison of smith predictor with novel successive reference-pose tracking approach
Vehicle teleoperation has the ability to bridge the gap between completely automated
driving and manual driving by remotely monitoring and operating autonomous vehicles …
driving and manual driving by remotely monitoring and operating autonomous vehicles …
[HTML][HTML] Deciphering pixel insights: A deep dive into deep learning strategies for enhanced indoor depth estimation
Depth estimation is one of the crucial tasks for autonomous systems, which provides
important information about the distance between the system and its surroundings …
important information about the distance between the system and its surroundings …
[HTML][HTML] RobustStateNet: Robust ego vehicle state estimation for Autonomous Driving
Control of an ego vehicle for Autonomous Driving (AD) requires an accurate definition of its
state. Implementation of various model-based Kalman Filtering (KF) techniques for state …
state. Implementation of various model-based Kalman Filtering (KF) techniques for state …
Extended object tracking in curvilinear road coordinates for autonomous driving
In literature, Extended Object Tracking (EOT) algorithms developed for autonomous driving
predominantly provide obstacles state estimation in cartesian coordinates in the Vehicle …
predominantly provide obstacles state estimation in cartesian coordinates in the Vehicle …
Vehicle localization Kalman filtering for traffic light advisor application in urban scenarios
D Vignarca, S Arrigoni, E Sabbioni - Sensors, 2023 - mdpi.com
The recent advancements in Intelligent Transportation Systems (ITS) have revealed
significant potential for enhancing traffic management through Advanced Driver Assist …
significant potential for enhancing traffic management through Advanced Driver Assist …
MPC trajectory planner for autonomous driving solved by genetic algorithm technique
S Arrigoni, F Braghin, F Cheli - Vehicle system dynamics, 2022 - Taylor & Francis
Focusing on autonomous driving algorithm development, this paper proposes a novel real-
time trajectory planner formulated as a Nonlinear Model Predictive Control (NMPC) …
time trajectory planner formulated as a Nonlinear Model Predictive Control (NMPC) …