Abstract: Recent advances have shown sensor-fusion’s vital role in accurate detection, especially for advanced driver assistancesystems. We introduce a novel procedure for depth upsampling and sensor-fusion that together lead to an improved detectionperformance, compared to state-of-the-art results for detecting cars. Upsampling is generally based on combining datafrom an image to compensate for the low resolution of a LiDAR (Light Detector and Ranging). This paper, on the otherhand, presents a framework to obtain dense depth map solely from a single L...
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Topics: 
Artificial intelligence
Computer vision