Path tracking of autonomous vehicle based on adaptive model predictive control
F Lin, Y Chen, Y Zhao, S Wang - International Journal of …, 2019 - journals.sagepub.com
In most cases, a vehicle works in a complex environment, with working conditions changing
frequently. For most model predictive tracking controllers, however, the impacts of some …
frequently. For most model predictive tracking controllers, however, the impacts of some …
Vision-based productivity analysis of cable crane transportation using augmented reality–based synthetic image
D Wang, X Wang, B Ren, J Wang, T Zeng… - Journal of Computing …, 2022 - ascelibrary.org
The productivity analysis of cable crane transportation in the construction field is of great
significance to improve crane equipment management and reduce operation costs …
significance to improve crane equipment management and reduce operation costs …
Target search control of AUV in underwater environment with deep reinforcement learning
X Cao, C Sun, M Yan - IEEE Access, 2019 - ieeexplore.ieee.org
The autonomous underwater vehicle (AUV) is widely used to search for unknown targets in
the complex underwater environment. Due to the unpredictability of the underwater …
the complex underwater environment. Due to the unpredictability of the underwater …
Flexible neural network for fast and accurate road scene perception
S Mehtab, WQ Yan - Multimedia Tools and Applications, 2022 - Springer
Accurate object detection on the road is the most important requirement of autonomous
vehicles. Extensive work has been accomplished for car, pedestrian, and cyclist detection; …
vehicles. Extensive work has been accomplished for car, pedestrian, and cyclist detection; …
Looking glamorous: Vehicle re-id in heterogeneous cameras networks with global and local attention
Vehicle re-identification (re-id) is a fundamental problem for modern surveillance camera
networks. Existing approaches for vehicle re-id utilize global features and local features for …
networks. Existing approaches for vehicle re-id utilize global features and local features for …
Recognition of perspective distorted QR codes with a partially damaged finder pattern in real scene images
L Karrach, E Pivarčiová, P Bozek - Applied Sciences, 2020 - mdpi.com
Featured Application Mobile robot navigation, automatic object identification and tracking.
Abstract QR (Quick Response) codes are one of the most famous types of two-dimensional …
Abstract QR (Quick Response) codes are one of the most famous types of two-dimensional …
An intelligent real-time occupancy monitoring system with enhanced encryption and privacy
The number of people entering or leaving a building is an essential piece of information that
has a lot of practical applications in intelligent building, queue management, and customer …
has a lot of practical applications in intelligent building, queue management, and customer …
A multi sensor real-time tracking with lidar and camera
SK Manghat, M El-Sharkawy - 2020 10th Annual Computing …, 2020 - ieeexplore.ieee.org
Self driving cars are equipped with various driver-assistive technologies (ADAS) like
Forward Collision Warning system (FCW), Adaptive Cruise Control and Collision Mitigation …
Forward Collision Warning system (FCW), Adaptive Cruise Control and Collision Mitigation …
[PDF][PDF] Vehicular detection and classification for intelligent transportation system: A deep learning approach using faster R-CNN model
MCE Orozco, CB Rebong - Platero, 2019 - academia.edu
Intelligent Transportation System (ITS) is one of the attributes that describe smart cities. One
of its functions is detection and classification of vehicles that pass through roadways. With …
of its functions is detection and classification of vehicles that pass through roadways. With …
Research on hierarchical pedestrian detection based on SVM classifier with improved kernel function
Y Zhang, L Xu, Y Zhang - Measurement and Control, 2022 - journals.sagepub.com
The research of pedestrian target detection in complex scenes is still of great significance.
Aiming at the problem of high missed detection rate and poor timeliness of pedestrian target …
Aiming at the problem of high missed detection rate and poor timeliness of pedestrian target …