Exploring the Potential of Multi-Modal AI for Driving Hazard Prediction

7 October 2023

Papers citing "Exploring the Potential of Multi-Modal AI for Driving Hazard Prediction"

7 / 7 papers shown

Title
Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving Safety Shashank Shriram Srinivasa Perisetla Aryan Keskar Harsha Krishnaswamy Tonko E. W. Bossen Andreas Møgelmose Ross Greer 23 0 0 18 Apr 2025
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 247 4,223 0 30 Jan 2023
DRAMA: Joint Risk Localization and Captioning in Driving Srikanth Malla Chiho Choi Isht Dwivedi Joonhyang Choi Jiachen Li 94 85 0 22 Sep 2022
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning Jack Hessel Jena D. Hwang J. Park Rowan Zellers Chandra Bhagavatula Anna Rohrbach Kate Saenko Yejin Choi ReLM 147 48 0 10 Feb 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 388 4,110 0 28 Jan 2022
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models Yuan Yao Ao Zhang Zhengyan Zhang Zhiyuan Liu Tat-Seng Chua Maosong Sun MLLM VPVLM VLM 194 220 0 24 Sep 2021
Drive Video Analysis for the Detection of Traffic Near-Miss Incidents Hirokatsu Kataoka Teppei Suzuki S. Oikawa Y. Matsui Y. Satoh 8 37 0 07 Apr 2018