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2004.02126
Cited By

Unsupervised and Supervised Learning with the Random Forest Algorithm
for Traffic Scenario Clustering and Classification

Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification

5 April 2020

Friedrich Kruber

Eduardo Sánchez Morales

ArXiv (abs)PDF HTML

Papers citing "Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification"

7 / 7 papers shown

Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood
Coverage and Similarity

Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity

Jianming Hu

227

6

0

02 Feb 2024

Traffic Scene Similarity: a Graph-based Contrastive Learning Approach

Traffic Scene Similarity: a Graph-based Contrastive Learning ApproachIEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023

Maximilian Zipfl

J. Marius Zöllner

234

6

0

18 Sep 2023

Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios

Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios

Lakshman Balasubramanian

Wolfgang Utschick

204

8

0

19 Jul 2022

Toward Unsupervised Test Scenario Extraction for Automated Driving
Systems from Urban Naturalistic Road Traffic Data

Toward Unsupervised Test Scenario Extraction for Automated Driving Systems from Urban Naturalistic Road Traffic DataSAE International Journal of Connected and Automated Vehicles (JSCAV), 2022

Christoph Thiem

277

4

0

14 Feb 2022

A Survey on Safety-Critical Driving Scenario Generation -- A
Methodological Perspective

A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective

Ding Zhao

724

250

0

04 Feb 2022

Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised
Networks Using a Random Forest Activation Pattern Similarity

Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity

Lakshman Balasubramanian

248

11

0

17 May 2021

Novelty Detection and Analysis of Traffic Scenario Infrastructures in
the Latent Space of a Vision Transformer-Based Triplet Autoencoder

Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder

Lakshman Balasubramanian

Wolfgang Utschick

306

8

0

05 May 2021

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