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Few applications of artificial intelligence have captured the public imagination, and skepticism, like autonomous vehicles. Here, machine learning models must navigate not just unpredictable road ...
Amid fears it’s created a mass surveillance system, Flock is turning its license plate readers into fully-fledged ...
2d
AZoSensors on MSNLow-Cost Autonomous Driving Software to “See” Transparent ObstaclesA DGIST team developed PINMAP, a cost-effective algorithm enabling low-cost LiDAR sensors to detect glass obstacles, ...
Abstract: The basic objective of this paper is to control the vehicle effluents like carbon dioxide, sulphur dioxide, carbon monoxide that may harm the ecosystem. We are also focussing on avoiding ...
The detection process uses shadow and symmetry features to generate vehicle hypotheses. These are fused and tracked over time using an Interacting Multiple Model method (IMM). Results for natural ...
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