Vineeth Balasubramanian — accepted AI-conference papers

2024

Can Reasons Help Improve Pedestrian Intent Estimation? A Cross-Modal Approach

Vaishnavi Khindkar, Vineeth Balasubramanian, Chetan Arora, Anbumani Subramanian, C.V. Jawahar

IROS 2024poster

With the increased importance of autonomous navigation systems has come an increasing need to protect the safety of Vulnerable Road Users (VRUs) such as pedestrians. Predicting pedestrian intent is one such challenging task, where prior work predicts the binary cross/no-cross intention with a fusion…

Cited by 0 Source ↗Scholar ↗

2017

Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras

Dhaivat Bhatt, Danish Sodhi, Arghya Pal, Vineeth Balasubramanian, Madhava Krishna

IROS 2017poster

Long-short term memory networks(LSTM) models have shown considerable performance on variety of problems dealing with sequential data. In this paper, we propose a variant of Long-Term Recurrent Convolutional Network(LRCN) to detect road intersection. We call this network as IntersectNet. We pose road…

Cited by 43 Source ↗Scholar ↗