LKAlert, a VLM fine-tuned with LoRA and lane-segmentation masks, classifies frames as pre-failure or normal, reporting 69.8% accuracy and 71.7 ROUGE-L explanations, but the test does not actually demonstrate temporal anticipation.
Effectiveness of advanced driver assistance systems in preventing system-relevant crashes,
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Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems
LKAlert, a VLM fine-tuned with LoRA and lane-segmentation masks, classifies frames as pre-failure or normal, reporting 69.8% accuracy and 71.7 ROUGE-L explanations, but the test does not actually demonstrate temporal anticipation.