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Multi-agent collaborative perception as a potential application for vehicle-to-everything communication could significantly improve the perception performance of autonomous vehicles over single-agent perception.
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Learning distilled collaboration graph for multi-agent perception
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Safe occlusion-aware autonomous driving via game-theoretic active perception
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Collaboration helps camera overtake lidar in 3d detection
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Learning for vehicle-to-vehicle cooperative perception under lossy communication
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V2xp-asg: Generating adversarial scenes for vehicle-to-everything perception
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Context de-confounded emotion recognition
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Target and source modality co-reinforcement for emotion understanding from asynchronous multimodal sequences
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A novel efficient multi-view traffic-related object detection framework
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