A Deep Learning Framework for Generation and Analysis of Driving
Scenario Trajectories

A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories

28 July 2020

Henrik Alfsvåg

Sadegh Rahrovani

Morteza Haghir Chehreghani

Papers citing "A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories"

11 / 11 papers shown

Title
Quantitative Representation of Scenario Difficulty for Autonomous Driving Based on Adversarial Policy Search Shuo Yang Caojun Wang Yuanjian Zhang Yuming Yin Yanjun Huang Shengbo Eben Li Hong Chen 23 0 0 26 Aug 2024
Analyzing and Enhancing Closed-loop Stability in Reactive Simulation Wei-Jer Chang Yeping Hu Chenran Li Wei Zhan M. Tomizuka 27 4 0 09 Aug 2022
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios Jonas Wurst Lakshman Balasubramanian M. Botsch Wolfgang Utschick 11 6 0 19 Jul 2022
Passive and Active Learning of Driver Behavior from Electric Vehicles Federica Comuni Christopher Mészáros Niklas Åkerblom M. Chehreghani 26 5 0 04 Mar 2022
Shift of Pairwise Similarities for Data Clustering Morteza Haghir Chehreghani 26 4 0 25 Oct 2021
Active Learning of Driving Scenario Trajectories Sanna Jarl Linus Aronsson Sadegh Rahrovani M. Chehreghani 17 18 0 06 Aug 2021
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity Lakshman Balasubramanian Jonas Wurst M. Botsch Ke Deng 8 9 0 17 May 2021
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder Jonas Wurst Lakshman Balasubramanian M. Botsch Wolfgang Utschick ViT 11 6 0 05 May 2021
A Generic Framework for Clustering Vehicle Motion Trajectories F. Hoseini Sadegh Rahrovani M. Chehreghani 14 4 0 25 Sep 2020
Hierarchical Correlation Clustering and Tree Preserving Embedding M. Chehreghani Mostafa Haghir Chehreghani 15 6 0 18 Feb 2020
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 77 512 0 29 Nov 2016