arXiv:2408.04360
Detecting Car Speed using Object Detection and Depth Estimation: A Deep Learning Framework
원문 초록
Road accidents are quite common in almost every part of the world, and, in majority, fatal accidents are attributed to over speeding of vehicles. The tendency to over speeding is usually tried to be controlled using check points at various parts of the road but not all traffic police have the device to check speed with existing speed estimating devices such as LIDAR based, or Radar based guns. The current project tries to address the issue of vehicle speed estimation with handheld devices such as mobile phones or wearable cameras with network connection to estimate the speed using deep learning frameworks.
함께 살펴볼 논문
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Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios
ThermalDiffusion: Visual-to-Thermal Image-to-Image Translation for Autonomous Navigation
Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles
MonoCoP: Chain-of-Prediction for Monocular 3D Object Detection
Cross-modal transformers for infrared and visible image fusion
토론
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