Lakshman Balasubramanian
Orcid: 0000-0003-1007-2887
According to our database1,
Lakshman Balasubramanian
authored at least 12 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
2021
2022
2023
2024
2025
0
1
2
3
4
5
1
1
2
3
2
3
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction.
CoRR, January, 2025
2024
Open-Set Object Detection for the Identification and Localization of Dissimilar Novel Classes by means of Infrastructure Sensors.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Clustering and Anomaly Detection in Embedding Spaces for the Validation of Automotive Sensors.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
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.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2023
2022
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
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.
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.
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.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021