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Drones/Robots


Partner content

World’s least-expensive self-driving vehicle revealed

World’s least-expensive self-driving vehicle revealed

  • Written by Graham Hope / IoT World Today
  • 26th May 2023

Haomo.ai has unveiled what it claims is the world’s cheapest autonomous delivery vehicle.

The Beijing-based tech firm – which is backed by giant automaker Great Wall Motor – revealed the latest 3.0 generation of its Little Magic Camel, a modular logistics solution with Level 4 capability.

The AV will be sold in China for just under $12,750, and Haomo hopes its release will help it to capitalize on an anticipated boom in automated deliveries, with some estimates predicting the global market could reach $424.3 billion by 2030. 

The company itself believes “large scale” deployment is likely in China by 2025, and remains confident despite setbacks in other parts of the world – such as California-based autonomous delivery company Nuro’s recent announcement that it was laying off staff and restructuring in the United States.

Haomo can offer the vehicle at such a relatively low price point thanks to the reapplication of tech it has used in developing autonomous capability in passenger cars, as well as taking advantage of the supply chain already in place. 

Little Magic Camel 3.0 delivers its automated functionality via a sensor suite which includes three solid-state lidars and seven high-definition cameras. It is also equipped with a 360 Tera Operations Per Second (TOPS) domain controller, backed by Qualcomm Snapdragon Ride dual chips.

To read the complete article, visit IoT World Today.

Tags: Alerting Systems Applications Artificial Intelligence Companies Coverage/Interference Critical Infrastructure Deployables Drones/Robots Enterprise Federal Government/Military Funding Incident Command/Situational Awareness Internet of Things Internet of Things Interoperability IoT/Smart X News Public Safety Software State & Local Government Subscriber Devices System Design System Installation System Operation Test & Measurement Tracking, Monitoring & Control Video Virtual/Augmented Reality Wireless Networks Partner content

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