Feature: Automotive
Figure 1: Radar data supporting real-time environmental perception
The next era of vehicle perception requires more than
just sensors By Jae-Eun Lee, CEO, Bitsensing
34 October 2026
www.electronicsworld.co.uk
whole, before any vehicle makes a driving decision. Is the object in the vehicle’s path moving? Is it a vehicle, a pedestrian or an animal? Is that pedestrian standing on the sidewalk about to step into the road? Is the vehicle in the next lane about to merge? T ese questions are complex and don’t depend on a single
A
metric, like detection range. Answering them requires a complex mixture of information that must be both accurate and dependable, and work across a huge range of real-world conditions and scenarios. T e focus is on the vehicle’s perception stack.
More data? So, is better perception just a matter of collecting more data? T is idea oſt en surfaces in debates around autonomous driving, with many believing that higher-resolution cameras, increasingly denser LiDAR scans and new advancements in radar technology might provide more information to improve perception.
utonomous driving is upon us, requiring new ways of using data and engineering systems. It is no longer a question of which sensing technology to adopt based on its range, resolution, performance or cost, but how to minimise uncertainty within the system as a
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44