Early Anticipation of Driving Maneuvers

Abdul Wasi, Shankar Gangisetty, Shyam Nandan, C. V. Jawahar, Daad Dataset Bmdmam

2/14/2026

No official code found. Best implementation: botmahn/slowfast (0 stars, Apache-2.0, last commit 2025-05-15).

DOI Semantic Scholar

Code Implementations(1)

botmahn/slowfastCommunity54%

Apache-2.0

An unofficial pytorch implementation of "Early Anticipation of Driving Maneuvers" based on the PySlowFast framework.

00Shell, PythonMar 8, 20251 years agoApache-2.0

deep-learningdriving-behaviorearly-anticipationtransformersvideo-classification

Similar Papers

Variational Learning of Fractional Posteriors

100% match1 repo2026

Bayesian Regularization of Latent Representation

100% match1 repo22026

Gradient Inversion of Multimodal Models

Hyperbolic Embeddings of Supervised Models

Generative Decoding of Visual Stimuli

Online Learning of Delayed Choices

Cite this paper

@article{wasi2026early,
  title  = {Early Anticipation of Driving Maneuvers},
  author = {Abdul Wasi and Shankar Gangisetty and Shyam Nandan and C. V. Jawahar and Daad Dataset Bmdmam},
  year   = {2026},
  doi    = {10.1007/978-3-031-72897-6_9},
  url    = {https://doi.org/10.1007/978-3-031-72897-6_9},
  journal = {ECCV 2024 2024}
}

Add a badge to your README

Shows whether official code is linked for this paper.

[![Code of Paper](https://codeofpaper.com/badge/2c7745e69ad466eb85290d3fc13e10e7b21829d8.svg)](https://codeofpaper.com/paper/2c7745e69ad466eb85290d3fc13e10e7b21829d8)

Discussion