Event-aided Semantic Scene Completion
Autonomous driving systems rely on robust 3D scene understanding. Recent advances in
Semantic Scene Completion (SSC) for autonomous driving underscore the limitations of …
Semantic Scene Completion (SSC) for autonomous driving underscore the limitations of …
Steering Prediction via a Multi-Sensor System for Autonomous Racing
Autonomous racing has rapidly gained research attention. Traditionally, racing cars rely on
2D LiDAR as their primary visual system. In this work, we explore the integration of an event …
2D LiDAR as their primary visual system. In this work, we explore the integration of an event …
Frequency-Adaptive Low-Latency Object Detection Using Events and Frames
Fusing Events and RGB images for object detection leverages the robustness of Event
cameras in adverse environments and the rich semantic information provided by RGB …
cameras in adverse environments and the rich semantic information provided by RGB …
Emerging Trends and Applications of Neuromorphic Dynamic Vision Sensors: A Survey
Traditional frame-based cameras, foundational in computer vision, face challenges, such as
motion blur, restricted dynamic range, and limited temporal resolution, which limit their use …
motion blur, restricted dynamic range, and limited temporal resolution, which limit their use …