ViPED: On-road vehicle passenger detection for autonomous vehicles
A Amanatiadis, E Karakasis, L Bampis… - Robotics and …, 2019 - Elsevier
This paper is about detecting and counting the passengers of a tracking vehicle using on-car
monocular vision. By having a model of nearby vehicle occupants, intelligent reasoning …
monocular vision. By having a model of nearby vehicle occupants, intelligent reasoning …
Pedestrian and vehicle detection in autonomous vehicle perception systems—A review
Autonomous Vehicles (AVs) have the potential to solve many traffic problems, such as
accidents, congestion and pollution. However, there are still challenges to overcome, for …
accidents, congestion and pollution. However, there are still challenges to overcome, for …
Convolutional neural network-based in-vehicle occupant detection and classification method using second strategic highway research program cabin images
This paper describes an approach for automatic detection and localization of drivers and
passengers in automobiles using in-cabin images. We used a convolutional neural network …
passengers in automobiles using in-cabin images. We used a convolutional neural network …
Vulnerable road user detection: state-of-the-art and open challenges
P Mannion - arXiv preprint arXiv:1902.03601, 2019 - arxiv.org
Correctly identifying vulnerable road users (VRUs), eg cyclists and pedestrians, remains one
of the most challenging environment perception tasks for autonomous vehicles (AVs). This …
of the most challenging environment perception tasks for autonomous vehicles (AVs). This …
A novel multi-view pedestrian detection database for collaborative intelligent transportation systems
Recent advances in machine-learning, especially in deep neural networks have significantly
accelerated the development and deployment of transport-oriented intelligent designs with …
accelerated the development and deployment of transport-oriented intelligent designs with …
A high-performance pedestrian detector and its implementation on embedded systems for hypermarket environment
KH Chen, JDC Deng, YT Hwang - 2019 International SoC …, 2019 - ieeexplore.ieee.org
Enabling autonomous driving in hypermarket environments is a new challenge. The whole
scenario is very different from traditional outdoor autonomous driving. To navigate in …
scenario is very different from traditional outdoor autonomous driving. To navigate in …
Novel convolutional neural network-based roadside unit for accurate pedestrian localisation
R Ojala, J Vepsäläinen, J Hanhirova… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Hazardous situations may easily be caused by limited visibility at urban traffic intersections
due to buildings, fences, flora, and other obstacles. Thus, drivers approaching an …
due to buildings, fences, flora, and other obstacles. Thus, drivers approaching an …
Passenger detection, counting, and action recognition for self-driving public transport vehicles
SF Kao, HY Lin - 2021 IEEE Intelligent Vehicles Symposium (IV …, 2021 - ieeexplore.ieee.org
Due to the recent progress on autonomous driving, some technologies have been gradually
deployed to the public transport vehicles. The passenger safety under the unmanned …
deployed to the public transport vehicles. The passenger safety under the unmanned …
Pedestrian detection for autonomous cars: inference fusion of deep neural networks
MM Islam, A Karimoddini - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Network fusion has been recently explored as an approach for improving pedestrian
detection performance. However, most existing fusion methods suffer from runtime …
detection performance. However, most existing fusion methods suffer from runtime …