Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction

5 December 2022

Papers citing "Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction"

6 / 6 papers shown

Title
Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving Ziying Song Caiyan Jia Lin Liu Hongyu Pan Y. Zhang Junming Wang X. Zhang Shaoqing Xu Lei Yang Yadan Luo 58 1 0 05 Mar 2025
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving Wenzhao Zheng Weiliang Chen Yuanhui Huang Borui Zhang Yueqi Duan Jiwen Lu VGen 34 69 0 27 Nov 2023
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review Yining Shi Kun Jiang Jiusi Li Zelin Qian Jun Wen Mengmeng Yang Ke Wang Diange Yang 76 25 0 02 Mar 2023
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning Jianwu Fang C. Zhu Pu Zhang Hongkai Yu Jianru Xue 36 16 0 02 Nov 2022
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras Anthony Hu Zak Murez Nikhil C. Mohan Sofía Dudas Jeffrey Hawke Vijay Badrinarayanan R. Cipolla Alex Kendall 131 254 0 21 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 152 363 0 20 Jan 2021