VIT-Ped: Visionary Intention Transformer for Pedestrian Behavior Analysis

Reading time: 1 minute
...

๐Ÿ“ Original Info

  • Title: VIT-Ped: Visionary Intention Transformer for Pedestrian Behavior Analysis
  • ArXiv ID: 2601.01989
  • Date: 2026-01-05
  • Authors: Aly R. Elkammar, Karim M. Gamaleldin, Catherine M. Elias

๐Ÿ“ Abstract

Pedestrian Intention prediction is one of the key technologies in the transition from level 3 to level 4 autonomous driving. To understand pedestrian crossing behaviour, several elements and features should be taken into consideration to make the roads of tomorrow safer for everybody. We introduce a transformer / video vision transformer based algorithm of different sizes which uses different data modalities .We evaluated our algorithms on popular pedestrian behaviour dataset, JAAD, and have reached SOTA performance and passed the SOTA in metrics like Accuracy, AUC and F1-score. The advantages brought by different model design choices are investigated via extensive ablation studies.

๐Ÿ“„ Full Content

...(๋ณธ๋ฌธ ๋‚ด์šฉ์ด ๊ธธ์–ด ์ƒ๋žต๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์‚ฌ์ดํŠธ์—์„œ ์ „๋ฌธ์„ ํ™•์ธํ•ด ์ฃผ์„ธ์š”.)

Start searching

Enter keywords to search articles

โ†‘โ†“
โ†ต
ESC
โŒ˜K Shortcut