Carlos Vallespi-Gonzalez

According to our database, Carlos Vallespi-Gonzalez authored at least 21 papers between 2008 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving.

Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, Carlos Vallespi-Gonzalez

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Convolutions for Spatial Interaction Modeling.

Zhaoen Su, Chao Wang, David Bradley, Carlos Vallespi-Gonzalez, Carl Wellington, Nemanja Djuric

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception.

Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington

IEEE Signal Process. Mag., 2021

LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting.

Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Shivam Gautam, Carlos Vallespi-Gonzalez, Carl K. Wellington

IEEE Robotics Autom. Lett., 2021

Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models.

Abhishek Mohta, Fang-Chieh Chou, Brian C. Becker, Carlos Vallespi-Gonzalez, Nemanja Djuric

CoRR, 2021

MultiXNet: Multiclass Multistage Multimodal Motion Prediction.

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

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Uncertainty-Aware Estimation of Vehicle Orientation for Self-Driving Applications.

Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization.

Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting.

Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

DVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles.

Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting Through Multi-View Fusion of LiDAR Data.

Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models.

Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric

CoRR, 2020

LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion.

Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sidney Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun

CoRR, 2020

RV-FuseNet: Range View based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting.

Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez

CoRR, 2020

LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting.

Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Carlos Vallespi-Gonzalez, Carl K. Wellington

CoRR, 2020

SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles.

Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker

CoRR, 2020

3D Point Cloud Processing and Learning for Autonomous Driving.

Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington

CoRR, 2020

LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion.

Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun

Proceedings of the 4th Conference on Robot Learning, 2020

2019

LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving.

Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation.

Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2008

Prior Data and Kernel Conditional Random Fields for Obstacle Detection.

Carlos Vallespi-Gonzalez, Tony Stentz

Proceedings of the Robotics: Science and Systems IV, 2008