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Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving
  Applications: A Review

Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review

25 December 2019
Sajjad Mozaffari
Omar Y. Al-Jarrah
M. Dianati
P. Jennings
A. Mouzakitis
ArXivPDFHTML

Papers citing "Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review"

12 / 12 papers shown
Title
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting
Mohammad Hasan Ahmadilivani
Mahdi Taheri
J. Raik
Masoud Daneshtalab
M. Jenihhin
AAML
21
9
0
16 Jun 2023
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of
  Surveys
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys
Long Chen
Yuchen Li
Chao Huang
Bai Li
Yang Xing
...
Chen Lv
Jinjun Wang
Dongpu Cao
N. Zheng
Feiyue Wang
33
296
0
30 Mar 2023
Allo-centric Occupancy Grid Prediction for Urban Traffic Scene Using
  Video Prediction Networks
Allo-centric Occupancy Grid Prediction for Urban Traffic Scene Using Video Prediction Networks
Rabbia Asghar
Lukas Rummelhard
A. Spalanzani
Christian Laugier
13
2
0
11 Jan 2023
Failure Detection for Motion Prediction of Autonomous Driving: An
  Uncertainty Perspective
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective
Wenbo Shao
Yan Xu
Liang Peng
Jun Li
Hong Wang
24
15
0
11 Jan 2023
Trajectory Prediction with Graph-based Dual-scale Context Fusion
Trajectory Prediction with Graph-based Dual-scale Context Fusion
Lu Zhang
Peiliang Li
Jing Chen
Shaojie Shen
16
28
0
02 Nov 2021
A hierarchical behavior prediction framework at signalized intersections
A hierarchical behavior prediction framework at signalized intersections
Zhen Yang
Rusheng Zhang
Henry X. Liu
9
3
0
29 Oct 2021
TIP: Task-Informed Motion Prediction for Intelligent Vehicles
TIP: Task-Informed Motion Prediction for Intelligent Vehicles
Xin Huang
Guy Rosman
A. Jasour
Stephen G. McGill
J. Leonard
B. Williams
32
15
0
17 Oct 2021
Comparing merging behaviors observed in naturalistic data with behaviors
  generated by a machine learned model
Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model
Aravinda Ramakrishnan Srinivasan
Mohamed Hasan
Yi-Shin Lin
Matteo Leonetti
J. Billington
R. Romano
Gustav Markkula
24
10
0
21 Apr 2021
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned
  Decision Trees for Autonomous Driving
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving
Cillian Brewitt
Balint Gyevnar
Samuel Garcin
Stefano V. Albrecht
11
30
0
10 Mar 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
365
0
20 Jan 2021
Motion Prediction on Self-driving Cars: A Review
Motion Prediction on Self-driving Cars: A Review
Shahrokh Paravarzar
Belqes Mohammad
11
12
0
06 Nov 2020
A Random Finite Set Approach for Dynamic Occupancy Grid Maps with
  Real-Time Application
A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application
Dominik Nuss
Stephan Reuter
Markus Thom
Ting Yuan
Gunther Krehl
M. Maile
Axel Gern
Klaus C. J. Dietmayer
61
148
0
09 May 2016
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