arXiv:2002.03556
공식 코드 · Papers with Code
Vehicle Driving Assistant
원문 초록
Autonomous vehicles has been a common term in our day to day life with car manufacturers like Tesla shipping cars that are SAE Level 3. While these vehicles include a slew of features such as parking assistance and cruise control,they have mostly been tailored to foreign roads. Potholes, and the abundance of them, is something that is unique to our Indian roads. We believe that successful detection of potholes from visual images can be applied in a variety of scenarios. Moreover, the sheer variety in the color, shape and size of potholes makes this problem an apt candidate to be solved using modern machine learning and image processing techniques.
함께 살펴볼 논문
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A Survey on Vision-Language-Action Models for Autonomous Driving
Where, What, Why: Towards Explainable Driver Attention Prediction
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction
STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving
토론
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