A comprehensive literature survey reveals that vision-based driver distraction classification systems suffer significant accuracy drops when evaluated on unseen drivers ...
Engineers instrumented an electric scooter with panoramic stereo cameras, time-of-flight sensors, helmet telemetry, and satellite positioning to record two-wheeler dynamics ...
A ResNet-based model using multi-level shifted-window context improved lane-segmentation metrics on BDD100K and transferred to TuSimple without target-domain fine-tuning.
A new lightweight AI framework recognizes sixteen driving actions at 96.37 percent accuracy while producing a continuous, expert-informed risk score ...
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