9
Conference on Computer Vision, pages 341–357.
Springer, 2022.
[10] Guillermo Gallego, Tobi Delbrück, Garrick Orchard,
Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan
Leutenegger, Andrew J Davison, Jörg Conradt, Kostas
Daniilidis, et al. Event-based vision: A survey. IEEE
transactions on pattern analysis and machine intelli-
gence, 44(1):154–180, 2020.
[11] Alex Zihao Zhu, Dinesh Thakur, Tolga Özaslan, Bernd
Pfrommer, Vijay Kumar, and Kostas Daniilidis. The
multivehicle stereo event camera dataset: An event
camera dataset for 3d perception. IEEE Robotics and
Automation Letters, 3(3):2032–2039, 2018.
[12] Shital Shah, Debadeepta Dey, Chris Lovett, and
Ashish Kapoor. Airsim: High-fidelity visual and
physical simulation for autonomous vehicles. In Field
and Service Robotics: Results of the 11th International
Conference, pages 621–635. Springer, 2018.
[13] Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad
Zaki Zadeh, Debapriya Banerjee, and Fillia Makedon.
A survey on contrastive self-supervised learning.
Technologies, 9(1):2, 2020.
[14] Xiaowei Feng, Fei Xue, Xiaotian Feng, and Tongyang
Zhao. Failure characteristics of w strap in coal mine
support. Archives of Mining Sciences, 67(2), 2022.
[15] Yağız Aksoy, Tunç Ozan Aydın, and Marc Pollefeys.
Information-flow matting. 2019.
[16] Olaf Ronneberger, Philipp Fischer, and Thomas Brox.
Unet: Convolutional networks for biomedical image
segmentation. In Medical Image Computing and
Computer-Assisted Intervention–MICCAI 2015: 18th
International Conference, Munich, Germany, October
5–9, 2015, Proceedings, Part III 18, pages 234–241.
Springer, 2015.
[17] I. J. Good. Rational decisions. Journal of the
Royal Statistical Society. Series B (Methodological),
14(1):107–114, 1952.
[18] Diederik P. Kingma and Jimmy Ba. Adam: A method
for stochastic optimization, 2017.
[19] Xue Ying. An overview of overfitting and its solu-
tions. In Journal of physics: Conference series, volume
1168, page 022022. IOP Publishing, 2019.
[20] James Joyce. Bayes’ theorem. 2003.
[21] Fumio Itami and Takaharu Yamazaki. A simple cali-
bration procedure for a 2d lidar with respect to a cam-
era. IEEE Sensors Journal, 19(17):7553–7564, 2019.
[22] S. Garrido-Jurado, R. Muñoz-Salinas, F. J. Madrid-
Cuevas, and M. J. Marín-Jiménez. Automatic genera-
tion and detection of highly reliable fiducial markers
under occlusion. Pattern Recognition, 47(6):2280–
2292, June 2014.
[23] Marius Cordts, Mohamed Omran, Sebastian Ramos,
Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson,
Uwe Franke, Stefan Roth, and Bernt Schiele. The
cityscapes dataset for semantic urban scene under-
standing. In Proc. of the IEEE Conference on Computer
Vision and Pattern Recognition (CVPR), 2016.
[24] Moritz Menze and Andreas Geiger. Object scene flow
for autonomous vehicles. In Conference on Computer
Vision and Pattern Recognition (CVPR), 2015.
[25] Dewant Katare, Nicolas Kourtellis, Souneil Park,
Diego Perino, Marijn Janssen, and Aaron Yi Ding.
Bias detection and generalization in ai algorithms on
edge for autonomous driving. In 2022 IEEE/ACM
7th Symposium on Edge Computing (SEC), pages 342–
348. IEEE, 2022.
Conference on Computer Vision, pages 341–357.
Springer, 2022.
[10] Guillermo Gallego, Tobi Delbrück, Garrick Orchard,
Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan
Leutenegger, Andrew J Davison, Jörg Conradt, Kostas
Daniilidis, et al. Event-based vision: A survey. IEEE
transactions on pattern analysis and machine intelli-
gence, 44(1):154–180, 2020.
[11] Alex Zihao Zhu, Dinesh Thakur, Tolga Özaslan, Bernd
Pfrommer, Vijay Kumar, and Kostas Daniilidis. The
multivehicle stereo event camera dataset: An event
camera dataset for 3d perception. IEEE Robotics and
Automation Letters, 3(3):2032–2039, 2018.
[12] Shital Shah, Debadeepta Dey, Chris Lovett, and
Ashish Kapoor. Airsim: High-fidelity visual and
physical simulation for autonomous vehicles. In Field
and Service Robotics: Results of the 11th International
Conference, pages 621–635. Springer, 2018.
[13] Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad
Zaki Zadeh, Debapriya Banerjee, and Fillia Makedon.
A survey on contrastive self-supervised learning.
Technologies, 9(1):2, 2020.
[14] Xiaowei Feng, Fei Xue, Xiaotian Feng, and Tongyang
Zhao. Failure characteristics of w strap in coal mine
support. Archives of Mining Sciences, 67(2), 2022.
[15] Yağız Aksoy, Tunç Ozan Aydın, and Marc Pollefeys.
Information-flow matting. 2019.
[16] Olaf Ronneberger, Philipp Fischer, and Thomas Brox.
Unet: Convolutional networks for biomedical image
segmentation. In Medical Image Computing and
Computer-Assisted Intervention–MICCAI 2015: 18th
International Conference, Munich, Germany, October
5–9, 2015, Proceedings, Part III 18, pages 234–241.
Springer, 2015.
[17] I. J. Good. Rational decisions. Journal of the
Royal Statistical Society. Series B (Methodological),
14(1):107–114, 1952.
[18] Diederik P. Kingma and Jimmy Ba. Adam: A method
for stochastic optimization, 2017.
[19] Xue Ying. An overview of overfitting and its solu-
tions. In Journal of physics: Conference series, volume
1168, page 022022. IOP Publishing, 2019.
[20] James Joyce. Bayes’ theorem. 2003.
[21] Fumio Itami and Takaharu Yamazaki. A simple cali-
bration procedure for a 2d lidar with respect to a cam-
era. IEEE Sensors Journal, 19(17):7553–7564, 2019.
[22] S. Garrido-Jurado, R. Muñoz-Salinas, F. J. Madrid-
Cuevas, and M. J. Marín-Jiménez. Automatic genera-
tion and detection of highly reliable fiducial markers
under occlusion. Pattern Recognition, 47(6):2280–
2292, June 2014.
[23] Marius Cordts, Mohamed Omran, Sebastian Ramos,
Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson,
Uwe Franke, Stefan Roth, and Bernt Schiele. The
cityscapes dataset for semantic urban scene under-
standing. In Proc. of the IEEE Conference on Computer
Vision and Pattern Recognition (CVPR), 2016.
[24] Moritz Menze and Andreas Geiger. Object scene flow
for autonomous vehicles. In Conference on Computer
Vision and Pattern Recognition (CVPR), 2015.
[25] Dewant Katare, Nicolas Kourtellis, Souneil Park,
Diego Perino, Marijn Janssen, and Aaron Yi Ding.
Bias detection and generalization in ai algorithms on
edge for autonomous driving. In 2022 IEEE/ACM
7th Symposium on Edge Computing (SEC), pages 342–
348. IEEE, 2022.