Pedestrian and cyclist detection and intent estimation for autonomous vehicles: A survey
As autonomous vehicles become more common on the roads, their advancement draws on
safety concerns for vulnerable road users, such as pedestrians and cyclists. This paper …
safety concerns for vulnerable road users, such as pedestrians and cyclists. This paper …
Pedestrian detection at day/night time with visible and FIR cameras: A comparison
Despite all the significant advances in pedestrian detection brought by computer vision for
driving assistance, it is still a challenging problem. One reason is the extremely varying …
driving assistance, it is still a challenging problem. One reason is the extremely varying …
EFASPP U-Net for semantic segmentation of night traffic scenes using fusion of visible and thermal images
F Shojaiee, Y Baleghi - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The development of self-driving cars increases driving safety and accelerates urban
transportation. These systems must have robust and real-time understanding of traffic …
transportation. These systems must have robust and real-time understanding of traffic …
Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning
Object detection in road scenes is necessary to develop both autonomous vehicles and
driving assistance systems. Even if deep neural networks for recognition task have shown …
driving assistance systems. Even if deep neural networks for recognition task have shown …
Multimodal deep-learning for object recognition combining camera and LIDAR data
G Melotti, C Premebida… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Object detection and recognition is a key component of autonomous robotic vehicles, as
evidenced by the continuous efforts made by the robotic community on areas related to …
evidenced by the continuous efforts made by the robotic community on areas related to …
Advance generalization technique through 3D CNN to overcome the false positives pedestrian in autonomous vehicles
With the popularity of autonomous vehicles and the rapid development of intelligent
transportation, the application scenarios for detecting pedestrians in everyday life are …
transportation, the application scenarios for detecting pedestrians in everyday life are …
Multimodal CNN pedestrian classification: a study on combining LIDAR and camera data
G Melotti, C Premebida… - 2018 21st …, 2018 - ieeexplore.ieee.org
This paper presents a study on pedestrian classification based on deep learning using data
from a monocular camera and a 3D LIDAR sensor, separately and in combination. Early and …
from a monocular camera and a 3D LIDAR sensor, separately and in combination. Early and …
Dataset and benchmark: Novel sensors for autonomous vehicle perception
S Carmichael, A Buchan, M Ramanagopal… - arXiv preprint arXiv …, 2024 - arxiv.org
Conventional cameras employed in autonomous vehicle (AV) systems support many
perception tasks, but are challenged by low-light or high dynamic range scenes, adverse …
perception tasks, but are challenged by low-light or high dynamic range scenes, adverse …
Real-time IoT-based connected vehicle infrastructure for intelligent transportation safety
The transportation sector faces severe consequences due to the incrementing population
influx yielding congestions, fatalities and haphazard traffic scenarios. Advanced Driver …
influx yielding congestions, fatalities and haphazard traffic scenarios. Advanced Driver …
Pedestrian detection at night time in FIR domain: Comprehensive study about temperature and brightness and new benchmark
T Kim, S Kim - Pattern Recognition, 2018 - Elsevier
This paper presents a novel method to detect pedestrians in the far infrared (FIR) domain at
night. In existing infrared data, the brightness is distorted by the contrast of the scene …
night. In existing infrared data, the brightness is distorted by the contrast of the scene …