E. Yurtsever, J. Lambert, A. Carballo, and K. Takeda, "A survey of autonomous driving: common practices and emerging technologies, " arXiv preprint arXiv:1906. 05113, 2019.
G. P. Stein, O. Mano, and A. Shashua, "Vision-based acc with a single camera: bounds on range and range rate accuracy, " in IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No. 03TH8683), June 2003, pp. 120-125.
E. Dagan, O. Mano, G. P. Stein, and A. Shashua, "Forward collision warning with a single camera, " in IEEE Intelligent Vehicles Symposium, 2004, June 2004, pp. 37-42.
M. Haloi and D. B. Jayagopi, "A robust lane detection and departure warning system, " in 2015 IEEE Intelligent Vehicles Symposium (IV), June 2015, pp. 126-131.
D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov, "Scalable object detection using deep neural networks, " in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2014.
P. Tzirakis, G. Trigeorgis, M. A. Nicolaou, B. W. Schuller, and S. Zafeiriou, "End-to-end multimodal emotion recognition using deep neural networks, " IEEE Journal of Selected Topics in Signal Processing, vol. 11, no. 8, pp. 1301-1309, Dec 2017.
J. Long, E. Shelhamer, and T. Darrell, "Fully convolutional networks for semantic segmentation, " in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015.
C. Godard, O. Mac Aodha, and G. J. Brostow, "Unsupervised monocular depth estimation with left-right consistency, " in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017.
K. He, X. Zhang, S. Ren, and J. Sun, "Delving deep into rectifiers: Surpassing human-level performance on imagenet classification, " in The IEEE International Conference on Computer Vision (ICCV), December 2015.
H. Zhuang, R. Sudhakar, and J. yu Shieh, "Depth estimation from a sequence of monocular images with known camera motion, " Robotics and Autonomous Systems, vol. 13, no. 2, pp. 87-95, 1994. [Online]. Available: http://www. sciencedirect. com/science/article/pii/ 0921889094900515
Z. Zhang, "Camera calibration, " Computer vision: A reference guide, pp. 76-77, 2014.
O. Faugeras, O. FAUGERAS, and M. I. of Technology, Threedimensional Computer Vision: A Geometric Viewpoint, ser. Artificial intelligence. MIT Press, 1993. [Online]. Available: https://books. google. nl/books?id=Aa6TTW9dWy0C
P. Sturm, Pinhole Camera Model. Boston, MA: Springer US, 2014, pp. 610-613. [Online]. Available: https://doi. org/10. 1007/ 978-0-387-31439-6 472
G. Bradski and A. Kaehler, Learning OpenCV: Computer vision with the OpenCV library. " O'Reilly Media, Inc. ", 2008.
U. R. Dhond and J. K. Aggarwal, "Structure from stereo-a review, " IEEE Transactions on Systems, Man, and Cybernetics, vol. 19, no. 6, pp. 1489-1510, Nov 1989.
G. Xu and Z. Zhang, Epipolar Geometry in Stereo, Motion, and Object Recognition: A Unified Approach. USA: Kluwer Academic Publishers, 1996.
H. Hirschmuller and D. Scharstein, "Evaluation of cost functions for stereo matching, " in 2007 IEEE Conference on Computer Vision and Pattern Recognition, June 2007, pp. 1-8.
R. Hartley and A. Zisserman, Multiple view geometry in computer vision. Cambridge university press, 2003.
NVIDIA DriveWorks Development Guide, https://developer. nvidia. com/driveworks-docs/, [Online], 2019.
Sekonix Camera Datasheets, https://developer. nvidia. com/driveworks/ files/Sekonix AR0231 2MP SF332X Automotive GMSL Camera Datasheet v2. 2E. pdf, [Online], 2019.