Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Julian F. P. Kooij"'
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 251-264 (2024)
A substantial number of vehicles nowadays are equipped with adaptive cruise control (ACC), which adjusts the vehicle speed automatically. However, experiments have found that commercial ACC systems which only detect the direct leader amplify the prop
Externí odkaz:
https://doaj.org/article/81f4252d1a5b45c8a1aa7d9d8aaa5a89
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 2970 (2023)
We propose an enhancement module called depth discontinuity learning (DDL) for learning-based multi-view stereo (MVS) methods. Traditional methods are known for their accuracy but struggle with completeness. While recent learning-based methods have i
Externí odkaz:
https://doaj.org/article/6363a1e1ccef4f8289b528048b35e467
Publikováno v:
IEEE Transactions on Intelligent Vehicles, 7(1)
State-of-the-art stixel methods fuse dense stereo disparity and semantic class information, e.g. from a Convolutional Neural Network (CNN), into a compact representation of driveable space, obstacles and background. However, they do not explicitly di
Publikováno v:
IEEE Transactions on Intelligent Vehicles, 8(2)
Early and accurate detection of crossing pedestrians is crucial in automated driving in order to perform timely emergency manoeuvres. However, this is a difficult task in urban scenarios where pedestrians are often occluded (not visible) behind objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d38d799d36d1d1ff8c53299c945b96df
http://resolver.tudelft.nl/uuid:29808a6b-f2a6-4462-9de0-78b59c6065cc
http://resolver.tudelft.nl/uuid:29808a6b-f2a6-4462-9de0-78b59c6065cc
Publikováno v:
IEEE Robotics and Automation Letters, 6(2)
This work proposes to use passive acoustic perception as an additional sensing modality for intelligent vehicles. We demonstrate that approaching vehicles behind blind corners can be detected by sound before such vehicles enter in line-of-sight. We h
Publikováno v:
IEEE Robotics and Automation Letters, 7(2)
Next-generation automotive radars provide elevation data in addition to range-, azimuth- and Doppler velocity. In this experimental study, we apply a state-of-the-art object detector (PointPillars), previously used for LiDAR 3D data, to such 3+1D rad
Publikováno v:
IEEE Transactions on Intelligent Vehicles, 6(4)
This paper compares two models for context-based path prediction of objects with switching dynamics: a Dynamic Bayesian Network (DBN) and a Recurrent Neural Network (RNN). These models are instances of two larger model categories, distinguished by wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fc5d211de311ff37b75f3f6d4d4c5c9
http://resolver.tudelft.nl/uuid:b634c2db-227b-4b29-81ba-84c075a03bf8
http://resolver.tudelft.nl/uuid:b634c2db-227b-4b29-81ba-84c075a03bf8
Publikováno v:
IEEE Robotics and Automation Letters, 6(3)
Cross-view matching aims to learn a shared image representation between ground-level images and satellite or aerial images at the same locations. In robotic vehicles, matching a camera image to a database of geo-referenced aerial imagery can serve as
Publikováno v:
IEEE Transactions on Intelligent Vehicles, 6(3)
We address joint extrinsic calibration of lidar, camera and radar sensors. To simplify calibration, we propose a single calibration target design for all three modalities, and implement our approach in an open-source tool with bindings to Robot Opera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::077b2432d98977a70fb44098d2c3603b
http://resolver.tudelft.nl/uuid:285bce82-4cc3-453a-ace0-45688d339203
http://resolver.tudelft.nl/uuid:285bce82-4cc3-453a-ace0-45688d339203
Publikováno v:
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021
This work investigates the validity of an occupancy grid mapping inspired by human cognition and the way humans visually perceive the environment. This query is motivated by the fact that, to date, no autonomous driving system reaches the performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ed651a99f5c5c9de6881c01bdd1b088
https://doi.org/10.1109/iccvw54120.2021.00328
https://doi.org/10.1109/iccvw54120.2021.00328