In case you missed it… – We are excited to share our spring release of Edge! This update introduces new features and improvements designed to make data fusion and exploratory data analytics easier than ever. The valuable feedback and continued support from our users has been instrumental in shaping these improvements – thank you. We… Continue reading What’s new with Edge?

By Hugh Blayney   Introduction Here at dRISK, we want to help people understand the “brains” behind AI. In this blog post, we’ll use dRISK’s Edge software to examine an Autonomous Vehicle (AV) use case, and diagnose an underlying data problem. We have a history of working on complex challenges within the field of AVs;… Continue reading A Closer Look at Motion Prediction with dRISK Edge

By Federico Arenas Lopez   How the painting looks now: Introduction   As Machine Learning (ML) models become a core part of our daily workflows, the need for developers to have fine control of their behavior has never been greater. Perhaps the most evident example is during Autonomous Vehicle (AV) development, where the stakes are… Continue reading Adding color and texture to Machine Learning development using Edge

By Federico Arenas Lopez and Katarina Cimesa   Assessing the surface: Introduction   LiDAR-based perception plays an increasingly important role in deploying safe Autonomous Vehicles and ADAS systems. In this short blog, we will illustrate how dRISK Edge can help LiDAR developers analyze the performance of their sensors under challenging circumstances, all in a matter… Continue reading Using Edge to navigate LiDAR Data: from the surface to the bottom in minutes

By Kiran Jesudasan   Autonomous Vehicles are inherently complex, and their data requirements are multifaceted. For the purpose of this blog article, our focus will be on the evolving regulatory landscape of testing. We will delve into the history of regulatory testing, highlight key changes projected for the industry, and demonstrate how dRISK aligns directly… Continue reading Everything your parents didn’t tell you about AV and ADAS needs, from Level 2 to Level 5.

  For the “Edge Case of the Week” dRISK would like to nominate a class of events that shouldn’t be edge cases at all. Red lights. Surely, stopping at red lights should be among the first tasks any driver learns, whether human or autonomous.  You’d think red lights would be trivial for AI. After all,… Continue reading Edge Case of the Week: Red Lights

By Lorenzo Niccolini and Hamish Scott     The reason we still don’t have ubiquitous AVs is that dealing with the tail-end complexities of the real world turns out to be really hard. A manifestation of this is the ‘whack-a-mole’ problem: you – an AV/ADAS developer – encounter a problem with the vehicle’s performance on… Continue reading Whack All Your Moles at Once: Addressing Hidden Safety Flaws in Autonomous Vehicles

Chess Stetson has published his thoughts on the current state of the Autonomous vehicle industry which seems like it is at a low point in the hype cycle just now. However, it is not all bad news as Chess and the dRISK team believe that if the autonomy goals changed from incremental improvements on normal… Continue reading The Self-driving Crucible

…including changes to the Highway Code. Kiran Jesudasan, Transportation Systems Specialist at dRISK, explains why developers need to change their assumptions if AVs are ever to be commercially deployed at scale. On 29th January 2022, changes were introduced to the Highway Code following public consultation. In essence, a new hierarchy of road users has been… Continue reading Developing autonomous vehicles requires planning for the unexpected …

Storms often provide a test for British infrastructure and the early months of 2022 saw Storm Eunice, swiftly followed by Franklin, give the sternest of examinations. Sadly the UK transport infrastructure weakness in such an environment was exposed with more pressure being put on the UK roads as commuters would turn to cars to get… Continue reading Can an Autonomous Vehicle handle a storm?