Engineers instrumented an electric scooter with panoramic stereo cameras, time-of-flight sensors, helmet telemetry, and satellite positioning to record two-wheeler dynamics ...
Researchers evaluated a continuous reinforcement learning architecture using proximal policy optimization in simulated urban driving, identifying key trade-offs in adaptability, ...
A comprehensive survey details how autonomous driving safety relies on categorizing risk sources, advancing modeling paradigms, and establishing unified assessment ...
Researchers developed an attention-enhanced 3D voxel detection model that increases mean average precision on occluded autonomous driving targets to 61.44 ...
Researchers have introduced LCS-Net, a lightweight collaborative neural network that executes simultaneous real-time object detection and semantic segmentation for autonomous ...
Researchers developed ChatMPC, a simulation framework that translates natural language driving instructions into dynamic model predictive control parameters.
A new hybrid review and original research article in Discover Vehicles presents a unified AI framework for intelligent sustainable mobility, ...
Researchers developed a compact road-object detector coupling high-resolution feature alignment and quality-aware assignment to improve small-object detection accuracy on benchmark ...
Computer scientists propose a Digital Reality framework that uses parametric real-world models and sensor simulation to generate balanced synthetic training ...
Researchers developed a bird's-eye-view architecture combining collaborative distillation and multi-domain attention to improve multimodal 3D object detection in complex driving ...
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