Improving autonomous truck performance

Key Focus Area:

Next Generation Ports

How can the operational performance of existing autonomous truck deployments be improved in inclement weather conditions?

BACKGROUND

In a bid to improve port efficiency, PSA Corporation Limited (PSA Singapore) has embarked on several automation initiatives, one of which is utilising autonomous trucks for handling container movements within the port. However, these trucks are typically deployed in outdoor environments 24/7 and are exposed to inclement weather conditions, which affect their performance and disrupt operations. As such, how can the operational performance of existing autonomous truck deployments be improved in inclement weather conditions?

SIGNIFICANCE OF PROBLEM

  • Heavy rain can interfere with sensors (e.g. lidar, cameras) used by autonomous vehicles (AV) for perception and decision-making
    • Raindrops might create sensor noise or obstruct the surroundings, leading to reduced accuracy and potentially causing the vehicle to either stop or take a course of action contrary to its intended behaviour
    • Reflections from water on the ground might hinder perception abilities
    • Camera/vision-based sensors might be occluded when the rain is too heavy

POTENTIAL MARKET SIZE

  • Total market size could also include other AV deployments in the logistics sector locally that face similar constraints

EXISTING EFFORTS

  • Sensor fusion using a variety of inputs from different sensors
  • Software filtering/de-noising solutions to reduce the impact of rain
  • These existing solutions are insufficient as the autonomous truck is still unable to function as well as a human driver piloting the truck

SOLUTION SUCCESS PARAMETERS

  • Has to improve autonomous truck performance to match the operating capabilities of a human driver in similar conditions (i.e. if a driver can continue driving, so should the AV)
  • Agnostic to existing AV architecture/brands and can be implemented or integrated with the AV stack of multiple vendors
  • Should not cause degradation or impact the performance of existing solutions

POTENTIAL SOLUTION SPACES

  • Software or hardware that can augment existing sensors

Shortlisted finalists are enrolled in a two-phase, 12-week programme.


Phase 1: Fit Check - Market Discovery and Validation

Kickstart your journey by diving deep into the heart of your market! In this phase, we'll help you answer the pivotal question: Is there a product-market fit for your solution? Validate your tech, test your assumptions, and find the perfect match for your innovation. A review will be conducted at the end of Phase 1. Only selected participants will advance to Phase 2.


Phase 2: Gap Busters - Navigating New Markets

Now, it's time to bridge the commercial gap. In this phase, you’ll partner with industry veterans who bring sharp business insights to the table. Together, you’ll navigate and conquer markets that may be uncharted territory for your startup.


Although the programme is designed for remote and overseas participants, in-person participation is required for the following events conducted in Singapore: