Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios. - Lakshman Balasubramanian; Friedrich Kruber; Michael Botsch; Ke Deng (IV, 2021)

Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity. - Lakshman Balasubramanian; Jonas Wurst; Michael Botsch; Ke Deng (IV, 2021)

Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder. - Jonas Wurst; Lakshman Balasubramanian; Michael Botsch; Wolfgang Utschick (IV, 2021)

ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios. - Lakshman Balasubramanian; Jonas Wurst; Robin Egolf; Michael Botsch; Wolfgang Utschick; Ke Deng (ITSC, 2022)

Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios. - Jonas Wurst; Lakshman Balasubramanian; Michael Botsch; Wolfgang Utschick (IV, 2022)

Data Collection and Safety Use Cases in Smart Infrastructures. - Michael Botsch; Werner Huber; Lakshman Balasubramanian; Alberto Flores Fernández; Markus Geisler; Christian Gudera; Mauricio Rene Morales Gomez; Peter Riegl; Eduardo Sánchez Morales; Karthikeyan Chandra Sekaran (AutomotiveUI (Adjunct Proceedings), 2023)

SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction. - Lakshman Balasubramanian; Jonas Wurst; Robin Egolf; Michael Botsch; Wolfgang Utschick; Ke Deng (ITSC, 2023)

Metric Learning Based Class Specific Experts for Open-Set Recognition of Traffic Participants in Urban Areas Using Infrastructure Sensors. - Karthikeyan Chandra Sekaran; Lakshman Balasubramanian; Michael Botsch; Wolfgang Utschick (IV, 2023)

Open-World Learning for Traffic Scenarios Categorisation. - Lakshman Balasubramanian; Jonas Wurst; Michael Botsch; Ke Deng (IEEE Trans. Intell. Veh., 2023)

Clustering and Anomaly Detection in Embedding Spaces for the Validation of Automotive Sensors. - Alexander Fertig; Lakshman Balasubramanian; Michael Botsch (IV, 2024)

Open-Set Object Detection for the Identification and Localization of Dissimilar Novel Classes by means of Infrastructure Sensors. - Karthikeyan Chandra Sekaran; Lakshman Balasubramanian; Michael Botsch; Wolfgang Utschick (IV, 2024)

Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction. - Alexander Fertig; Lakshman Balasubramanian; Michael Botsch (CoRR, 2025)