LaserFlow: Efficient and Probabilistic Object Detection and Motion
Forecasting

LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting

12 March 2020

Gregory P. Meyer

Shreyash Pandey

Carlos Vallespi-Gonzalez

Carl K. Wellington

Papers citing "LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting"

14 / 14 papers shown

Title
PDM-SSD: Single-Stage Three-Dimensional Object Detector With Point Dilation Ao Liang Haiyang Hua Jian Fang Wenyu Chen Huaici Zhao 3DPC 57 0 0 10 Feb 2025
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning Pedram Agand Mohammad Mahdavian Manolis Savva Mo Chen ViT 29 4 0 19 Oct 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting Mao Ye Gregory P. Meyer Yuning Chai Qiang Liu 32 8 0 09 Mar 2023
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving Shoaib Azam Farzeen Munir Ville Kyrki M. Jeon Witold Pedrycz 56 1 0 13 Oct 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving Kashyap Chitta Aditya Prakash Bernhard Jaeger Zehao Yu Katrin Renz Andreas Geiger ViT 104 298 0 31 May 2022
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks Benedikt Mersch Xieyuanli Chen Jens Behley C. Stachniss 3DPC 29 54 0 28 Sep 2021
Raising context awareness in motion forecasting H. Ben-younes Éloi Zablocki Mickaël Chen P. Pérez Matthieu Cord TTA 39 11 0 16 Sep 2021
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data A. Laddha Shivam Gautam Stefan Palombo Shreyash Pandey Carlos Vallespi-Gonzalez 3DPC 99 29 0 21 Apr 2021
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving Aditya Prakash Kashyap Chitta Andreas Geiger ViT 51 510 0 19 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 163 365 0 20 Jan 2021
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 24 223 0 20 Nov 2020
Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization Zhaoen Su Chao Wang Henggang Cui Nemanja Djuric Carlos Vallespi-Gonzalez David Bradley 48 7 0 01 Nov 2020
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion Meet Shah Zhi-ling Huang A. Laddha Matthew Langford B. Barber Sidney Zhang Carlos Vallespi-Gonzalez R. Urtasun 27 36 0 02 Oct 2020
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data Sergio Casas Cole Gulino Renjie Liao R. Urtasun AI4CE 174 211 0 18 Oct 2019