Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Abdelaziz, Khiat"'
Publikováno v:
International Journal of Automotive Engineering, Vol 12, Iss 2, Pp 54-61 (2021)
Being able to generate adequate test scenarios in order to validate autonomous driving functions is of paramount importance for the deployment of autonomous vehicles. However, asserting the completeness of generated test cases and coverage of all pos
Externí odkaz:
https://doaj.org/article/40b286b71e5440a1bb1b3b31c0245361
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
It is evident that High-Definition Maps (HD Maps) are key enablers of autonomous driving systems, since they enable them to understand the nearby road structure in order to generate a localized corridor. However, the huge cost incurred in creating an
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
We propose a novel method called Short-/Long-term Hybrid Prediction (SLHP) that predicts short-term and long-term trajectories of surrounding objects while estimating their future influences on an autonomous ego-vehicle for both types of trajectories
Publikováno v:
ITSC
A human driver determines his/her driving action by predicting future behavior of other road users based on the consideration of relative relationships and reactions between all players. To get as close as possible to human driving behavior, it is im
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
This paper presents an offline ground truth generation method using LIDAR(Light Detection and Ranging) scans and odometry. The generated ground truth allows quantitative evaluation of the performance of self-localization methods in urban areas where
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
The Global Navigation Satellite System (GNSS) is by far the most used system for vehicle self-localization. However, it often fails in urban environments because of signal outages and other interference. To overcome this issue, roof-mounted LiDARs ar
Publikováno v:
ITSC
We consider long-term planning problems for autonomous vehicles in complex traffic scenarios where vehicles and pedestrians interact. The decisions of an autonomous vehicle can influence surrounding other participants in these scenarios. Therefore, p
Autor:
Kazunori Umeda, Abdelaziz Khiat, Gakuto Masuyama, Yuki Tanaka, Akihiko Hishigi, Noriko Shimomura, Hiroya Okamoto
Publikováno v:
QCAV
This paper introduces a simultaneous estimation method of the extrinsic parameters of multiple fish-eye cameras using simple calibration markers. Precise extrinsic parameters of cameras mounted on a car are important, for example, to provide a seamle
Autor:
Bharath Gopalakrishnan, Brijendra Kumar Bharti, Kumar Bipin, Vishakh Duggal, K. Madhava Krishna, Arun Kumar Singh, Abdelaziz Khiat
Publikováno v:
Intelligent Vehicles Symposium
Overtaking of a vehicle moving on structured roads is one of the most frequent driving behavior. In this work, we have described a Real Time Control System based framework for overtaking maneuver of autonomous vehicles. Proposed framework incorporate
Publikováno v:
MVA
In this paper, we propose a simple general-purpose road boundary detection method, which can detect low height curbs, curved curbs, slopes, vegetation and ditches. Many conventional methods based on DEM (digital elevation map) can only deal with ordi