Carlos Vallespi-Gonzalez - researchr alias

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Viewing Publication 1 - 15 from 15

2022

Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous DrivingSudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, Carlos Vallespi-Gonzalez. wacv 2022: 3292-3300 [doi]

Convolutions for Spatial Interaction ModelingZhaoen Su, Chao Wang, David Bradley, Carlos Vallespi-Gonzalez, Carl Wellington, Nemanja Djuric. cvpr 2022: 6573-6582 [doi]

2021

3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and PerceptionSiheng Chen, Baoan Liu, Chen Feng 0002, Carlos Vallespi-Gonzalez, Carl Wellington. spm, 38(1):68-86, 2021. [doi]

Uncertainty-Aware Estimation of Vehicle Orientation for Self-Driving ApplicationsHenggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric. itsc 2021: 2660-2666 [doi]

MultiXNet: Multiclass Multistage Multimodal Motion PredictionNemanja 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. ivs 2021: 435-442 [doi]

DVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving VehiclesShivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker. iccvw 2021: 3012-3021 [doi]

MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting Through Multi-View Fusion of LiDAR DataAnkit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez. cvpr 2021: 2865-2874 [doi]

RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion ForecastingAnkit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington. iros 2021: 7060-7066 [doi]

LaserFlow: Efficient and Probabilistic Object Detection and Motion ForecastingGregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Shivam Gautam, Carlos Vallespi-Gonzalez, Carl K. Wellington. ral, 6(2):526-533, 2021. [doi]

Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory ParameterizationZhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley. iros 2021: 3837-3843 [doi]

2020

LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar FusionMeet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun. corl 2020: 31-48 [doi]

2019

2008

Prior Data and Kernel Conditional Random Fields for Obstacle DetectionCarlos Vallespi-Gonzalez, Tony Stentz. rss 2009: [doi]

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