{"id":54139,"date":"2022-01-18T14:07:17","date_gmt":"2022-01-18T14:07:17","guid":{"rendered":"https:\/\/pr.asianetpakistan.com\/?p=85420"},"modified":"2022-01-18T14:07:17","modified_gmt":"2022-01-18T14:07:17","slug":"bluespace-ai-debuts-4d-predictive-perception-software-at-ces-enabling-autonomy-at-scale","status":"publish","type":"post","link":"https:\/\/malaysiantribune.com\/bluespace-ai-debuts-4d-predictive-perception-software-at-ces-enabling-autonomy-at-scale\/","title":{"rendered":"BlueSpace.ai Debuts 4D Predictive Perception Software at CES \u2013 Enabling Autonomy at Scale"},"content":{"rendered":"
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BlueSpace.ai enhances safety and performance in Autonomous Driving\/ADAS with industry leading motion accuracy<\/h4>\n
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EMERYVILLE, Calif., Jan. 18, 2022 (GLOBE NEWSWIRE) — BlueSpace.ai showcased its breakthrough 4D Predictive Perception technology at CES 2022. This perception software works with next generation 4D sensors – imaging radar or frequency modulated continuous wave (FMCW) LiDAR .\u00a0 Key industry players such as Waymo, Mobileye and Aurora are already aggressively adopting next-gen 4D sensors. Given the price competitiveness and improving performance, CES 2022 highlighted the significant interest in imaging radar from across the AV industry. With abundance of hardware from leading Tier 1 suppliers and various start-ups, it’s timely that BlueSpace is showing its proprietary algorithm to accurately detect and predict the motion of all objects in a generalizable way – all on a single CPU, with no prior training and no dependence on HD mapping.<\/p>\n

BlueSpace’s scalable solution is immediately deployable in any location.\u00a0 It is also extremely flexible – working with any 4D sensor or a combination of imaging radar and FMCW LiDARs, and operates standalone or fits seamlessly into existing AV stacks.<\/p>\n

Despite years of research and billions of dollars invested, current AV\/ADAS systems still cannot handle some safety critical situations and endless edge cases.\u00a0A recent report by\u00a0McKinsey<\/a> notes two key factors needed to accelerate autonomy:<\/p>\n