4 Result(s)
within
Qiao Yan
Computer Science
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Chapter and Conference Paper
MVFAN: Multi-view Feature Assisted Network for 4D Radar Object Detection
4D radar is recognized for its resilience and cost-effectiveness under adverse weather conditions, thus playing a pivotal role in autonomous driving. While cameras and LiDAR are typically the primary sensors u...
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Chapter and Conference Paper
RPF3D: Range-Pillar Feature Deep Fusion 3D Detector for Autonomous Driving
In this paper, we present RPF3D, an innovative single-stage framework that explores the complementary nature of point clouds and range images for 3D object detection. Our method addresses the sampling region imba...
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Chapter and Conference Paper
The Study of the User Preferences of the Request Channel on Taking Over During Level-3 Automated Vehicles’ Driving Process
When a level-3 automated vehicle fails with an autonomous driving system or encounters an unmanageable traffic situation, the driver needs to control the vehicle to ensure driving safety. The transfer process ...
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Chapter and Conference Paper
A DDoS Detection and Mitigation System Framework Based on Spark and SDN
Distributed Denial of Service (DDoS) attack is a serious threat to commercial service network. DDoS attack has been studied for years. However, detecting and relieving DDoS attacks are still a problem. Especia...
