A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
A Systematic Literature Review of Software Defect Prediction Using Deep Learning
2021
Journal of Computer Science
Preserved Fulltext
Software defect prediction using deep learning models is still a valuable topic and requires much research studies to enhance the performance of the defect prediction. ...
There are two approaches to reveal the software defects in the source code. The first approach is concentrated on the traditional features such as lines of code, code complexity, etc. ...
To handle the problem of Time Limit Exceed (TLE), Zhou et al. (2019) built the DeepTLE model to predict if there were performance defects before running the test cases. ...
doi:10.3844/jcssp.2021.490.510
fatcat:sawoov64m5hxxphni3jndzmqyq
Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2020 accepted arXiv:1906.02859v2 fatcat:pcovw4xxv5ay3cjg52u4dmdmvm
Advanced driver assistance and automated driving systems rely on risk estimation modules to predict and avoid dangerous situations. ...
We designed a deep spatiotemporal classification network that uses pre-trained state-of-the-art instance segmentation network Mask R-CNN as its spatial feature extractor for this task. ...
These high-level features were then fed into LSTM cells to depict temporal relationships. ...
arXiv:1906.02859v1
fatcat:kvxuaidrrngshjbrcuztg7cnqe
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Studies regarding present challenges, high-level system architectures, emerging methodologies and core functions: localization, mapping, perception, planning, and human machine interface, were thoroughly ...
Running at 5 fps means it is approaching the area of real-time use for ADS. ...
Then, road and lane feature extraction is performed on the corrected data. ...
arXiv:1906.05113v2
fatcat:2hqztllrgjhndbc5aebduvukai
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Studies regarding present challenges, high-level system architectures, emerging methodologies and core functions including localization, mapping, perception, planning, and human machine interfaces, were ...
Running at 5 fps means it is approaching the area of real-time use for ADS. ...
Then, road and lane feature extraction is performed on the corrected data. ...
doi:10.1109/access.2020.2983149
fatcat:t3w7nopogvbhvbbkgpk3dknn5u