US 6393362B1
· Burns
· 2002
[cited by applicant]
US 7221797B2
· Koshizen et al.
· 2007
[cited by applicant]
US 7409295B2
· Paradie
· 2008
[cited by applicant]
US 7565006B2
· Stam et al.
· 2009
[cited by applicant]
US 8204642B2
· Tanaka et al.
· 2012
[cited by applicant]
US 8352111B2
· Mudalige
· 2013
[cited by applicant]
US 9373057B1
· Erhan et al.
· 2016
[cited by applicant]
US 9489635B1
· Zhu
· 2016
[cited by applicant]
US 9701307B1
· Newman et al.
· 2017
[cited by applicant]
US 10108867B1
· Vallespi-Gonzalez et al.
· 2018
[cited by applicant]
US 20040252864A1
· Chang et al.
· 2004
[cited by applicant]
US 20070021912A1
· Morita et al.
· 2007
[cited by applicant]
US 20070154068A1
· Stein et al.
· 2007
[cited by applicant]
US 20070182528A1
· Breed et al.
· 2007
[cited by applicant]
US 20090125177A1
· Tanaka et al.
· 2009
[cited by applicant]
US 20090256840A1
· Varadhan et al.
· 2009
[cited by applicant]
US 20100256852A1
· Mudalige
· 2010
[cited by applicant]
US 20130054106A1
· Schmudderich et al.
· 2013
[cited by applicant]
US 20160001775A1
· Wilhelm et al.
· 2016
[cited by applicant]
US 20180136332A1
· Barfield, Jr. et al.
· 2018
[cited by applicant]
US 20180158244A1
· Ybanez Zepeda et al.
· 2018
[cited by applicant]
US 20180203959A1
· Refsnaes et al.
· 2018
[cited by applicant]
US 20180239361A1
· Micks et al.
· 2018
[cited by applicant]
US 20180349746A1
· Vellespi-Gonzalez
· 2018
[cited by applicant]
US 20180373980A1
· Huval
· 2018
[cited by applicant]
US 20190071101A1
· Emura et al.
· 2019
[cited by applicant]
US 20190129831A1
· Goldberg
· 2019
[cited by applicant]
US 20190179979A1
· Melick
· 2019
[cited by applicant]
US 20210039649A1
· Yu
· 2021
[cited by applicant]
US 20240336285A1
· Ng et al.
· 2024
[cited by applicant]
US 20250138534A1
· Nister et al.
· 2025
[cited by applicant]
CN 106428009A
· 2017
[cited by applicant]
CN 106740457A
· 2017
[cited by applicant]
CN 106864454A
· 2017
[cited by applicant]
CN 106608263A
· 2018
[cited by applicant]
DE 102015221920A1
· 2017
[cited by applicant]
DE 102015226762A1
· 2017
[cited by applicant]
EP 1930863A2
· 2008
[cited by applicant]
EP 2384009A2
· 2011
[cited by applicant]
GB 2547082A
· 2017
[cited by applicant]
KR 20120009590A
· 2012
[cited by applicant]
WO 2012011713A2
· 2012
[cited by applicant]
WO 2016183074A1
· 2016
[cited by applicant]
WO 2018002910A1
· 2018
[cited by applicant]
WO 2018102717A1
· 2018
[cited by applicant]
WO 2018147874A1
· 2018
[cited by applicant]
WO 2018142394A3
· 2018
[cited by applicant]
WO 2018218155A1
· 2018
[cited by applicant]
Ng, Julia; Requirement for Restriction/Election for U.S. Appl. No. 16/877,127, filed May 18, 2020, mailed Sep. 15, 20222, 5 pgs.
[cited by applicant]
IEC 61508, “Functional Safety of Electrical/Electronic/Programmable Electronic Safety-related Systems,” https://en.wikipedia.org/wiki/IEC_61508, accessed on Apr. 1, 2022, 7 pgs.
[cited by applicant]
ISO 26262, “Road vehicle—Functional safety,” International standard for functional safety of electronic system, https://en.wikipedia.org/wiki/ISO_26262, accessed on Sep. 13, 2021, 8 pgs.
[cited by applicant]
Bojarski, Mariusz; “End to End Learning for Self-Driving Cars”, https://arxiv.org/abs/1604.07316; Apr. 25, 2016, 9 pgs.
[cited by applicant]
Nister, David; Non-Final Office Action for U.S. Appl. No. 17/356,337, filed Jun. 23, 2021, mailed Nov. 2, 2022, 35 pgs.
[cited by applicant]
Nister, David; Notice of Allowance for U.S. Appl. No. 17/356,337, filed Jun. 23, 2021, mailed Nov. 18, 2022, 5 pgs.
[cited by applicant]
Asvadi, A., et al., “DepthCN: Vehicle Detection Using 3D-LIDAR and ConvNet”, International Conference on Intelligent Transportation Systems (ITSC), IEEE, pp. 1-6 (Oct. 16, 2017), XP033330533.
[cited by applicant]
Kim, W., S., et al., “Depth Map Coding with Distortion Estimation of Rendered View”, Proceedings of Spie, vol. 7543, pp. 7430B1-75430B10, (Jan. 17, 2010), XP055272237.
[cited by applicant]
Tateno, K., et al., “CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction”, Arxiv.Org, Cornell University Library, pp. 6243-6252 (Apr. 11, 2017).
[cited by applicant]
International Preliminary Report on Patentability received for PCT Application No. PCT/US2019/061820, mailed on May 27, 2021, 9 pgs.
[cited by applicant]
International Preliminary Report on Patentability received for PCT Application No. PCT/US2019/068766, mailed on Jul. 8, 2021, 10 pgs.
[cited by applicant]
International Preliminary Report on Patentability received for PCT Application No. PCT/US2019/068764, mailed on Jul. 8, 2021, 12 pgs.
[cited by applicant]
International Preliminary Report on Patentability received for PCT Application No. PCT/US2019/018348, mailed on Aug. 27, 2020, 16 pgs.
[cited by applicant]
International Preliminary Report on Patentability received for PCT Application No. PCT/US2019/022753, mailed on Oct. 1, 2020, 14 pgs.
[cited by applicant]
International Preliminary Report on Patentability International Patent Application No. PCT/US2019/012535 mailed Jul. 7, 2020.
[cited by applicant]
International Search Report and Written Opinion mailed Apr. 15, 2020 in Application No. PCT/US2019/061820 filed Nov. 15, 2019.
[cited by applicant]
International Search Report and Written Opinion mailed Nov. 7, 2019 in International Patent Application No. PCT/US2019/022753, 22 pgs.
[cited by applicant]
International Search Report and Written Opinion mailed Oct. 17, 2019 in International Patent Application No. PCT/US2019/012535, 24 pgs.
[cited by applicant]
International Search Report and Written Opinion mailed Jul. 25, 2019 in International Patent Application No. PCT/US2019/018348, 22 pgs.
[cited by applicant]
International Search Report and Written Opinion mailed Jun. 26, 2019 in International Patent Application No. PCT/US2019/024400, 15 pgs.
[cited by applicant]
International Search Report and Written Opinion mailed Aug. 26, 2019 in International Patent Application No. PCT/US2019/022592, 18 pgs.
[cited by applicant]
“Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles”, Society of Automotive Engineers (SAE), Standard No. J3016-201609, pp. 30 (Sep. 30, 2016).
[cited by applicant]
“Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles”, Society of Automotive Engineers (SAE), Standard No. J3016-201806, pp. 35 (Jun. 15, 2018).
[cited by applicant]
Aude, E. P. L., et al., “Integration of intelligent systems and sensor fusion within the ControLab AGV”, In Mobile Robots XIV, vol. 3838, pp. 50-62 (1999).
[cited by applicant]
Bach, M., et al., “Multi-camera traffic light recognition using a classifying Labeled Multi-Bernoulli filter”, IEEE Intelligent Vehicles Symposium (IV), pp. 1045-1051 (Jun. 2017).
[cited by applicant]
Bidlack, C., et al., “Visual Robot Navigation using Flat Earth Obstacle Projection”, Proceedings of the IEEE International Conference on Robotics and Automation, pp. 3374-3381 (1994).
[cited by applicant]
Dynov, I., “Is Deep Learning Really the Solution for Everything in Self-Driving Cars? ”, Retrieved from Internet URL : https://www.automotive-iq.com/autonomous-drive/articles/deep-learning-really-solution-everything-sel…
[cited by applicant]
Fazlollahtabar, H., et al., “Delay Optimization in a Multiple AGV System”, International Journal of Swarm Intelligence and Evolutionary Computation, pp. 7 (2014).
[cited by applicant]
Garnett, N., et al., “Real-Time Category-Based and General Obstacle Detection for Autonomous Driving”, IEEE International Conference on Computer Vision Workshops, pp. 198-205 (2017).
[cited by applicant]
Godard, C., et al., “Unsupervised Monocular Depth Estimation with Left-Right Consistency”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 270-279 (2017).
[cited by applicant]
He, L., et al., “Learning Depth from Single Images with Deep Neural Network Embedding Focal Length”, Cornell University Library, pp. 1-14 (Mar. 27, 2018).
[cited by applicant]
Jayaraman, A., et al., “Creating 3D Virtual Driving Environments for Simulation-Aided Development of Autonomous Driving and Active Safety”, SAE Technical Paper, pp. 1-6 (2017).
[cited by applicant]
Keighobadi, J., et al., “Self-Constructing Neural Network Modeling and Control of an AGV”, Positioning, pp. 160-168 (2013).
[cited by applicant]
Kendall, A., et al., “End-to-end Learning of Geometry and Context for Deep Stereo Regression”, Cornell University Library, pp. 66-75 (2017).
[cited by applicant]
Liu, H., et al., “Neural Person Search Machines”, IEEE International Conference on Computer Vision (ICCV), pp. 493-501 (2017).
[cited by applicant]
Muller, U., et al., “Off-Road Obstacle Avoidance Through End-To-End Learning”. In Advances in neural information processing systems, pp. 1-8, (2006).
[cited by applicant]
Neven, D., et al., “Towards end-to-end lane detection: an instance segmentation approach”, In 2018 IEEE intelligent vehicles symposium (IV), pp. 7 (2018).
[cited by applicant]
Pang, J., et al., “Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching”, IEEE International Conference on Computer Vision Workshops, pp. 887-895 (2017).
[cited by applicant]
Pomerleau, D. A., “Alvinn: An Autonomous Land Vehicle in a Neural Network”, In Advances in neural information processing systems, pp. 1-16, (1989).
[cited by applicant]
Rothe, R., et al., “Non-maximum Suppression for Object Detection by Passing Messages Between Windows”, ETH Library, pp. 1-17 (2015).
[cited by applicant]
Schwarting, W., et al., “Planning And Decision-Making for Autonomous Vehicles”, Annual Review of Control, Robotics, and Autonomous Systems, vol. 1, pp. 187-210, (2018).
[cited by applicant]
Soylu, M., et al., “A self-organizing neural network approach for the single AGV routing problem”, European Journal of Operational Research, pp. 124-137 (2000).
[cited by applicant]
Stein, G. P., et al., “Vision-Based ACC With A Single Camera: Bounds on Range and Range Rate Accuracy”, Proceedings of IEEE Intelligent Vehicle Symposium, pp. 1-6 (2003).
[cited by applicant]
Suorsa, R., E., and Sridhar, B., “A Parallel Implementation of a Multisensor Feature-Based Range-Estimation Method”, IEEE Transactions on Robotics And Automation, pp. 1-34 (1993).
[cited by applicant]
Tao, A., “Detectnet: Deep neural network for object detection in digits”, NVIDIA Developer Blog, Retrieved from Internet URL: https://devblogs.nvidia.com/detectnet-deep-neural-network-object-detection-digits/, accessed …
[cited by applicant]
International Preliminary Report on Patentability received for PCT Application No. PCT/US2019/012535, mailed on Jul. 16, 2020, 16 pages.
[cited by applicant]
International Preliminary Report on Patentability received for PCT Application No. PCT/US2019/016418, mailed on Aug. 13, 2020, 8 pages.
[cited by applicant]
International Preliminary Report on Patentability received for PCT Application No. PCT/US2019/019656, mailed on Sep. 3, 2020, 11 pages.
[cited by applicant]
International Preliminary Report on Patentability received for PCT Application No. PCT/US2019/024400, mailed on Oct. 8, 2020, 10 pages.
[cited by applicant]
Weber, M., et al., “DeepTLR: A single deep convolutional network for detection and classification of traffic lights”, IEEE Intelligent Vehicles Symposium (IV), pp. 8 (Jun. 2016).
[cited by applicant]
Zhong, Y., et al., “Self-Supervised Learning for Stereo Matching with Self-Improving Ability”, Cornell University Library, pp. 1-13 (2017).
[cited by applicant]
Zitzewitz, G. V., “Survey of neural networks in autonomous driving”, Survey of Neural Networks in Autonomous Driving, pp. 1-8 (2017).
[cited by applicant]
“Conservative Control for Zone Driving of Autonomous Vehicles Using Safe Time of Arrival”, United States U.S. Appl. No. 62/628,831, filed Feb. 9, 2018. Note: Copy not provided as part of PTO records.
[cited by applicant]
“Convolutional Neural Networks to Detect Drivable Freespace for Autonomous Vehicles”, U.S. Appl. No. 62/643,665, filed Mar. 15, 2018. Note: Copy not provided as part of PTO records.
[cited by applicant]
“Deep Learning for Path Detection in Autonomous Vehicles”, U.S. Appl. No. 62/684,328, filed Jun. 13, 2018 Note: Copy not provided as part of PTO records.
[cited by applicant]
“Deep Neural Network for Estimating Depth from Stereo Using Semi-Supervised Learning”, U.S. Appl. No. 62/646,148, filed Mar. 21, 2018. Note: Copy not provided as part of PTO records.
[cited by applicant]
“Distance Based Ambient Occlusion Filter for Denoising Ambient Occlusions”, U.S. Appl. No. 62/644,601, filed Mar. 19, 2018 Note: Copy not provided as part of PTO records.
[cited by applicant]
“Energy Based Reflection Filter for Denoising Ray-Traced Glossy Reflections”, U.S. Appl. No. 62/644,386, filed Mar. 17, 2018 Note: Copy not provided as part of PTO records.
[cited by applicant]
“Geometric Shadow Filter for Denoising Ray-Traced Shadows”, U.S. Appl. No. 62/644,385, filed Mar. 17, 2018. Note: Copy not provided as part of PTO records.
[cited by applicant]
“Method and System of Remote Operation of a Vehicle Using an Immersive Virtual Reality Environment”, U.S. Appl. No. 62/648,493, filed Mar. 27, 2018 Note: Copy not provided as part of PTO records.
[cited by applicant]
“Methodology of Using a Single Controller (ECU) for a Fault-Tolerant/Fail-Operational Self-Driving System”, U.S. Appl. No. 62/524,283, filed Jun. 23, 2017. Note: Copy not provided as part of PTO records.
[cited by applicant]
“Methods for accurate real-time object detection and for determining confidence of object detection suitable for D autonomous vehicles”, U.S. Appl. No. 62/631,781, filed Feb. 18, 2018.
[cited by applicant]
“Network Injection Rate Limiting”, United States U.S. Appl. No. 62/648,326, filed Mar. 26, 2018 Note: Copy not provided as part of PTO records.
[cited by applicant]
“Network Synchronization Using Posted Operation Tracking for Flush Semantics”, United States U.S. Appl. No. 62/648,333, filed Mar. 26, 2018. Note: Copy not provided as part of PTO records.
[cited by applicant]
“Programmable Vision Accelerator”, U.S. Appl. No. 15/141,703, filed Apr. 28, 2016. Note: Copy not provided as part of PTO records.
[cited by applicant]
“Pruning Convolutional Neural Networks for Autonomous Vehicles and Robotics”, U.S. Appl. No. 62/630,445, filed Feb. 14, 2018 Note: Copy not provided as part of PTO records.
[cited by applicant]
“Reliability Enhancement Systems and Methods” U.S. Appl. No. 15/338,247, filed Oct. 28, 2016. Note: Copy not provided as part of PTO records.
[cited by applicant]
“System and Method for Autonomous Shuttles, Robo-Taxis, Ride-Sharing and On-Demand Vehicles”, U.S. Appl. No. 62/635,503, filed Feb. 26, 2018. Note: Copy not provided as part of PTO records.
[cited by applicant]
“System and Method for Controlling Autonomous Vehicles”, U.S. Appl. No. 62/614,466, filed Jan. 17, 2018. Note: Copy not provided as part of PTO records.
[cited by applicant]
“System and Method for Safe Operation of Autonomous Vehicles”, U.S. Appl. No. 62/625,351, filed Feb. 2, 2018. Note: Copy not provided as part of PTO records.
[cited by applicant]
“System and Method for Sharing Camera Data Between Primary and Backup Controllers in Autonomous Vehicle Systems”, U.S. Appl. No. 62/629,822, filed Feb. 13, 2018 Note: Copy not provided as part of PTO records.
[cited by applicant]
“System and Method for Training, Testing, Verifying, and Validating Autonomous and Semi-Autonomous Vehicles”, U.S. Appl. No. 62/648,399, filed Mar. 27, 2018 Note: Copy not provided as part of PTO records.
[cited by applicant]
“System and Methods for Advanced AI-Assisted Vehicles”, U.S. Appl. No. 62/648,358, filed Mar. 26, 2018. Note: Copy not provided as part of PTO records.
[cited by applicant]
“System and Methods for Virtualized Intrusion Detection and Prevent System in Autonomous Vehicles”, U.S. Appl. No. 62/682,803, filed Jun. 8, 2018 Note: Copy not provided as part of PTO records.
[cited by applicant]
“Systems and Methods for Safe and Reliable Autonomous Vehicles”, U.S. Appl. No. 62/584,549, filed Nov. 10, 2017. Note: Copy not provided as part of PTO records.
[cited by applicant]
“Video Prediction Using Spatially Displaced Convolution”, U.S. Appl. No. 62/646,309, filed Mar. 21, 2018. Note: Copy not provided as part of PTO records.
[cited by applicant]
“Detection of Hazardous Autonomous Driving Using Machine Learning,” U.S. Appl. No. 62/622,538, filed Jan. 26, 2018. Note: Copy not provided as part of PTO records.
[cited by applicant]
Adaptive Occlusion Sampling of Rectangular Area Lights with Voxel Cone Tracing, U.S. Appl. No. 62/644,806, filed Mar. 19, 2018 Note: Copy not provided as part of PTO records.
[cited by applicant]
Ching Y. Hung et al. “Programmable Vision Accelerator”, U.S. Appl. No. 62/156,167, filed May 1, 2015 Note: Copy not provided as part of PTO records.
[cited by applicant]
“Video Prediction Using Spatially Displaced Convolution”, U.S. Appl. No. 62/647,545, filed Mar. 23, 2018. Note: Copy not provided as part of PTO records.
[cited by applicant]
Chen, Chenyi; Final Office Action dated Feb. 8, 2022 in U.S. Appl. No. 16/366,875, 20 pgs.
[cited by applicant]
Ng, Julia; Non-Final Office Action for U.S. Appl. No. 16/877,127, filed May 18, 2020, mailed Jan. 13, 2023, 75 pgs.
[cited by applicant]
Ng, Julia; Applicant-Initiated Interview Summary for U.S. Appl. No. 16/877,127, filed May 18, 2020, mailed Mar. 2, 2023, 3 pgs.
[cited by applicant]
Invitation to Pay Additional Fees received in PCT Application No. PCT/US2019/012535, mailed on Mar. 29, 2019, 15 pgs.
[cited by applicant]
International Search Report and Written Opinion received in International Application No. PCT/US2019/016418, mailed on Apr. 10, 2019, 10 pgs.
[cited by applicant]
Non-Final Office Action dated Oct. 7, 2021 U.S. Appl. No. 16/366,875, 22 pgs.
[cited by applicant]
Notice of Allowance for U.S. Appl. No. 16/366,875, dated Apr. 22, 2022, 16 pgs.
[cited by applicant]
Ng, et al.; Final Office Action for U.S. Appl. No. 16/877,127, filed May 18, 2020, mailed Jun. 16, 2023, 43 pgs.
[cited by applicant]
Ng, et al.; Advisory Action for U.S. Appl. No. 16/877,127, filed May 18, 2020, mailed Aug. 1, 2023, 5 pgs.
[cited by applicant]
Ng, Julia; Non-Final Office Action for U.S. Appl. No. 16/877,127, filed May 18, 2020, mailed Sep. 6, 2023, 48 pgs.
[cited by applicant]
Nister, David; Non-Final Office Action for U.S. Appl. No. 18/083,159, filed Dec. 16, 2022, mailed Dec. 15, 2023, 45 pgs.
[cited by applicant]
Ng, Julia; Restriction Requirement for U.S. Appl. No. 16/877,127, filed May 18, 2020, mailed Dec. 22, 2023, 6 pgs.
[cited by applicant]
Nister, David; Notice of Allowance for U.S. Appl. No. 18/083,159, filed Dec. 16, 2022, mailed Jan. 24, 2024, 11 pgs.
[cited by applicant]
Nister, David; First Office Action for Chinese Patent Application No. 201980001151.X, filed Jul. 29, 2019, mailed Dec. 12, 2023, 13 pgs.
[cited by applicant]
Ng, Julia; Notice of Allowance for U.S. Appl. No. 16/877,127, filed May 18, 2020, mailed Apr. 18, 2024, 34 pgs.
[cited by applicant]