Lakshman Balasubramanian

According to our database, Lakshman Balasubramanian authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Open-World Learning for Traffic Scenarios Categorisation.

Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng

IEEE Trans. Intell. Veh., May, 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

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction.

Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

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

Proceedings of the Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2023

2022

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

Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios.

Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

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

Proceedings of the IEEE Intelligent Vehicles Symposium, 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

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

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

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021