Autonomous Vehicles
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
·3110 words·15 mins·
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AI Applications
Autonomous Vehicles
🏢 Zhejiang University
LeapAD, a novel autonomous driving paradigm, uses a dual-process architecture mirroring human cognition to achieve continuous learning and improved adaptability. Employing a VLM for efficient scene u…
Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation
·2480 words·12 mins·
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AI Applications
Autonomous Vehicles
🏢 Nanyang Technological University
Researchers developed AdvRM, a new adversarial patch attack against monocular depth estimation models, which effectively camouflages patches as road markings to mislead depth predictions for any obsta…
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
·2165 words·11 mins·
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AI Generated
AI Applications
Autonomous Vehicles
🏢 City University of Hong Kong
BehaviorGPT, a novel autoregressive Transformer, simulates realistic traffic agent behavior by modeling each time step as ‘current’, achieving top results in the 2024 Waymo Open Sim Agents Challenge.
Autonomous Driving with Spiking Neural Networks
·2556 words·12 mins·
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AI Generated
AI Applications
Autonomous Vehicles
🏢 UC Santa Cruz
Spiking Autonomous Driving (SAD) is the first unified SNN for autonomous driving, achieving competitive performance in perception, prediction, and planning while significantly reducing energy consumpt…
AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking
·1964 words·10 mins·
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AI Applications
Autonomous Vehicles
🏢 Northwestern Polytechnical University
AlterMOMA: A novel pruning framework significantly improves camera-LiDAR fusion models by identifying and removing redundant parameters through an alternative modality masking technique, achieving sta…