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	<title>bird&#8217;s eye view perception &#8211; BIOENGINEER.ORG</title>
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		<title>Camera-Only AI Sees Past Occlusions in Real Time for Self-Driving Cars</title>
		<link>https://bioengineer.org/camera-only-ai-sees-past-occlusions-in-real-time-for-self-driving-cars/</link>
		
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		<pubDate>Thu, 08 Oct 2026 22:00:01 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[3D Object Detection]]></category>
		<category><![CDATA[Autonomous Vehicles]]></category>
		<category><![CDATA[bird's eye view perception]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[deformable attention]]></category>
		<category><![CDATA[knowledge distillation]]></category>
		<category><![CDATA[LiDAR]]></category>
		<category><![CDATA[lightweight neural networks]]></category>
		<category><![CDATA[nuScenes]]></category>
		<category><![CDATA[occlusion]]></category>
		<category><![CDATA[real-time inference]]></category>
		<category><![CDATA[temporal fusion]]></category>
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					<description><![CDATA[Researchers in Chongqing have built a lightweight camera-only 3D detection framework that adapts its processing to scene complexity, fuses information across video frames, and learns depth from LiDAR during training, reaching 38.7% mAP at 26.2 frames per second on the nuScenes benchmark.]]></description>
		
		
		
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