Object detection, classification and tracking methods for video surveillance: A review
RC Joshi, M Joshi, AG Singh… - 2018 4th International …, 2018 - ieeexplore.ieee.org
Video surveillance is going through an enormous change in the last decade and lots of
research is undergoing in this area. As object tracking is an integral part of such systems, it …
research is undergoing in this area. As object tracking is an integral part of such systems, it …
Generic tracking and probabilistic prediction framework and its application in autonomous driving
Accurately tracking and predicting behaviors of surrounding objects are key prerequisites for
intelligent systems such as autonomous vehicles to achieve safe and high-quality decision …
intelligent systems such as autonomous vehicles to achieve safe and high-quality decision …
[HTML][HTML] A probabilistic architecture of long-term vehicle trajectory prediction for autonomous driving
In mixed and dynamic traffic environments, accurate long-term trajectory forecasting of
surrounding vehicles is one of the indispensable preconditions for autonomous vehicles to …
surrounding vehicles is one of the indispensable preconditions for autonomous vehicles to …
A novel method for simulation-based testing and validation of automotive surround sensors under adverse weather conditions/submitted by Sinan Hasirlioglu
S Hasirlioglu - 2020 - epub.jku.at
Die Ausrüstung von Fahrzeugen mit Fahrautomatisierungssystemen hat das Ziel, den
Fahrkomfort zu erhöhen und den Menschen, der für die meisten Unfälle verantwortlich ist …
Fahrkomfort zu erhöhen und den Menschen, der für die meisten Unfälle verantwortlich ist …
Generic vehicle tracking framework capable of handling occlusions based on modified mixture particle filter
Accurate and robust tracking of surrounding road participants plays an important role in
autonomous driving. However, there is usually no prior knowledge of the number of tracking …
autonomous driving. However, there is usually no prior knowledge of the number of tracking …
Post-Impact Stability Control for Road Vehicles: State-of-the-Art Methodologies and Perspectives
Reducing traffic accidents and associated casualties is a growing concern for modern
human society. The secondary or even chain collisions for an unstable vehicle after an initial …
human society. The secondary or even chain collisions for an unstable vehicle after an initial …
Adaptive target tracking with interacting heterogeneous motion models
Multiple motion estimators such as an interacting multiple model (IMM) have been utilized to
track target objects such as cars and pedestrians with diverse motion patterns. However, the …
track target objects such as cars and pedestrians with diverse motion patterns. However, the …
A Novel Enhancement to Kalman Filter: When Kalman Meets Cramér and Rao
X Liang, Y Feng, Y Jiang - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
This paper revisits the classic problem of state estimation and tracking of a dynamic
nonlinear system from the perspective of sequential minimum mean squared error (MMSE) …
nonlinear system from the perspective of sequential minimum mean squared error (MMSE) …
[PDF][PDF] Exploring the techniques for object detection, classification, and tracking in video surveillance for crowd analysis
A Gullapelly, BG Banik - Indian Journal of Computer Science and …, 2020 - ijcse.com
Video surveillance (observation) will be going through a massive variation in the most recent
decade, and loads of research is experiencing around there. As Tracking of objects will be …
decade, and loads of research is experiencing around there. As Tracking of objects will be …
Deep Particle Filter for Vehicle Trajectory Estimation under Uncertainty
Future intelligent transportation systems depend on accurate and reliable trajectory
estimation of road vehicles. However, mainstream researches focus on estimation of …
estimation of road vehicles. However, mainstream researches focus on estimation of …