ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.04624
  4. Cited By
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term
  Trajectory Prediction

KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction

10 May 2022
Qiujing Lu
Weiqiao Han
Jeffrey Ling
Minfa Wang
Haoyu Chen
Balakrishnan Varadarajan
Paul Covington
ArXivPDFHTML

Papers citing "KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction"

14 / 14 papers shown
Title
SemanticFormer: Holistic and Semantic Traffic Scene Representation for
  Trajectory Prediction using Knowledge Graphs
SemanticFormer: Holistic and Semantic Traffic Scene Representation for Trajectory Prediction using Knowledge Graphs
Zhigang Sun
Zixu Wang
Lavdim Halilaj
J. Luettin
31
5
0
30 Apr 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
64
6
0
18 Mar 2024
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
Ari Seff
Brian Cera
Dian Chen
Mason Ng
Aurick Zhou
Nigamaa Nayakanti
Khaled S. Refaat
Rami Al-Rfou
Benjamin Sapp
17
91
0
28 Sep 2023
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction
  via Self-Supervision
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision
Faris Janjos
Max Keller
Maxim Dolgov
J. Marius Zöllner
16
7
0
06 Jun 2023
Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in
  Vehicle Motion Prediction
Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction
Marcel Hallgarten
Ismail Kisa
Martin Stoll
A. Zell
23
14
0
01 Jun 2023
Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design
  in Uncertain Nonconvex Environments
Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design in Uncertain Nonconvex Environments
A. Jasour
Weiqiao Han
B. Williams
13
1
0
26 May 2023
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory
  Prediction
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction
Yujun Jiao
Mingze Miao
Zhishuai Yin
Chunyuan Lei
Xu Zhu
Linzhen Nie
Bo Tao
19
5
0
22 Mar 2023
Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for
  Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives
Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives
Weiqiao Han
A. Jasour
B. Williams
12
1
0
02 Mar 2023
From Prediction to Planning With Goal Conditioned Lane Graph Traversals
From Prediction to Planning With Goal Conditioned Lane Graph Traversals
Marcel Hallgarten
Martin Stoll
A. Zell
AI4CE
18
31
0
15 Feb 2023
GANet: Goal Area Network for Motion Forecasting
GANet: Goal Area Network for Motion Forecasting
Mingkun Wang
Xinge Zhu
Changqian Yu
W. Li
Yuexin Ma
Ruochun Jin
Xiaoguang Ren
Dongchun Ren
Mingxu Wang
Wenjing Yang
22
61
0
20 Sep 2022
Bootstrap Motion Forecasting With Self-Consistent Constraints
Bootstrap Motion Forecasting With Self-Consistent Constraints
Maosheng Ye
Jiamiao Xu
Xun Xu
Tengfei Wang
Tongyi Cao
Qifeng Chen
28
19
0
12 Apr 2022
Large Scale Interactive Motion Forecasting for Autonomous Driving : The
  Waymo Open Motion Dataset
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Scott Ettinger
Shuyang Cheng
Benjamin Caine
Chenxi Liu
Hang Zhao
...
Jiquan Ngiam
Vijay Vasudevan
Alexander McCauley
Jonathon Shlens
Drago Anguelov
129
530
0
20 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
152
363
0
20 Jan 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
14,047
0
02 Dec 2016
1