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2020 – today
- 2022
[c13]Zhaoen Su, Chao Wang, David Bradley, Carlos Vallespi-Gonzalez, Carl Wellington, Nemanja Djuric:
Convolutions for Spatial Interaction Modeling. CVPR 2022: 6573-6582- [c12]Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, Carlos Vallespi-Gonzalez:
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving. WACV 2022: 3292-3300 - 2021
- [j2]Gregory P. Meyer
, Jake Charland, Shreyash Pandey, Ankit Laddha, Shivam Gautam, Carlos Vallespi-Gonzalez, Carl K. Wellington:
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting. IEEE Robotics Autom. Lett. 6(2): 526-533 (2021) - [j1]Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington:
3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception. IEEE Signal Process. Mag. 38(1): 68-86 (2021) - [c11]Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez:
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting Through Multi-View Fusion of LiDAR Data. CVPR Workshops 2021: 2865-2874 - [c10]Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker:
DVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles. ICCVW 2021: 3012-3021 - [c9]Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley:
Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. IROS 2021: 3837-3843 - [c8]Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington:
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting. IROS 2021: 7060-7066 - [c7]Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric:
Uncertainty-Aware Estimation of Vehicle Orientation for Self-Driving Applications. ITSC 2021: 2660-2666 - [c6]Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington:
MultiXNet: Multiclass Multistage Multimodal Motion Prediction. IV 2021: 435-442 - [i14]Abhishek Mohta, Fang-Chieh Chou, Brian C. Becker, Carlos Vallespi-Gonzalez, Nemanja Djuric:
Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models. CoRR abs/2101.03279 (2021) - [i13]Zhaoen Su, Chao Wang, David Bradley, Carlos Vallespi-Gonzalez, Carl Wellington, Nemanja Djuric:
Convolutions for Spatial Interaction Modeling. CoRR abs/2104.07182 (2021) - [i12]Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez:
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data. CoRR abs/2104.10772 (2021) - 2020
- [c5]Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun:
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. CoRL 2020: 31-48 - [i11]Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington:
3D Point Cloud Processing and Learning for Autonomous Driving. CoRR abs/2003.00601 (2020) - [i10]Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker:
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles. CoRR abs/2003.04447 (2020) - [i9]Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Carlos Vallespi-Gonzalez, Carl K. Wellington:
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting. CoRR abs/2003.05982 (2020) - [i8]Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez:
RV-FuseNet: Range View based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting. CoRR abs/2005.10863 (2020) - [i7]Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington:
MultiXNet: Multiclass Multistage Multimodal Motion Prediction. CoRR abs/2006.02000 (2020) - [i6]Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, Carlos Vallespi-Gonzalez:
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving. CoRR abs/2008.11901 (2020) - [i5]Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sidney Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun:
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. CoRR abs/2010.00731 (2020) - [i4]Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley:
Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. CoRR abs/2011.00399 (2020) - [i3]Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric:
Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models. CoRR abs/2011.03114 (2020)
2010 – 2019
- 2019
- [c4]Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez:
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CVPR Workshops 2019: 41-48 - [c3]Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez:
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CVPR Workshops 2019: 1230-1237 - [c2]Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington:
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. CVPR 2019: 12677-12686 - [i2]Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington:
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. CoRR abs/1903.08701 (2019) - [i1]Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez:
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CoRR abs/1904.11466 (2019)
2000 – 2009
- 2008
- [c1]Carlos Vallespi-Gonzalez, Tony Stentz:
Prior Data and Kernel Conditional Random Fields for Obstacle Detection. Robotics: Science and Systems 2008
Coauthor Index
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last updated on 2023-09-28 03:12 CEST by the dblp team
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