Robohub.org
 

Robocars at CES: Supervised traffic jam assist


by
08 January 2015



share this:
Delphi's car bristling with sensors -- 6 LIDARS and even more radars.

Delphi’s car bristling with sensors — 6 LIDARS and even more radars. Photo credit: Brad Templeton.

After a short day looking at robocars at CES, a more full day was full of the usual equipment — cameras, TVs, audio and the like and visits to several car booths.

I’ve expanded my gallery of notable things with captions with cars and other technology.

Lots of people were making demonstrations of traffic jam assist at CES — simple self-driving at low speeds among other cars. All the demos were of a supervised traffic jam assist. This style of product (as well as supervised highway cruising) is the first thing that car companies are delivering (though they are also delivering various parking assist and valet parking systems).

This makes sense as it’s an easy problem to solve. So easy, in fact, that many of them now admit they are working on making a real traffic jam assist, which will drive the jam for you while you do e-mail or read a book. This is a readily solvable problem today — you really just have to follow the other cars, and you are going slow enough that, short of a catastrophic error like going full throttle, you aren’t going to hurt people no matter what you do … at least on a highway where there are no pedestrians or cyclists. As such, a full auto traffic jam assist should be the first product we see form car companies.

None of them will say when they might do this. The barrier is not so much technological as corporate — concern about liability and image. It’s a shame, because frankly the supervised cruise and traffic jam assist products are just in the “pleasant extra feature” category. They may help you relax a bit (if you trust them) as cruise control does, but they give you little else. A “read a book” level system would give people back time, and signal the true dawn of robocars. It would probably sell for lots more money, too.

The most impressive car is Delphi’s, a collaboration with folks out of CMU. The Delphi car, a modified Audi SUV, has no fewer than 6 4-plane LIDARs and an even larger number of radars. It helps if you make the radars, as otherwise this is an expensive bill of materials. With all the radars, the vehicle can look left and right, and back left and back right, as well as forward, which is what you need for dealing with intersections where cross traffic doesn’t stop, and for changing lanes at high speed.

As a refresher: Radar gives you great information, including speed on moving objects, and sucks on stationary ones. It goes very far and sees through all weather. It has terrible resolution. LIDAR has more resolution but does not see as far, and does not directly give you speed. Together they do great stuff.

For notes and photos, browse the gallery.

A version of this article originally appeared on robocars.com.



tags: , , , ,


Brad Templeton, Robocars.com is an EFF board member, Singularity U faculty, a self-driving car consultant, and entrepreneur.
Brad Templeton, Robocars.com is an EFF board member, Singularity U faculty, a self-driving car consultant, and entrepreneur.





Related posts :



Robot Talk Episode 136 – Making driverless vehicles smarter, with Shimon Whiteson

  05 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Shimon Whiteson from Waymo about machine learning for autonomous vehicles.

Why companies don’t share AV crash data – and how they could

  01 Dec 2025
Researchers have created a roadmap outlining the barriers and opportunities to encourage AV companies to share the data to make AVs safer.

Robot Talk Episode 135 – Robot anatomy and design, with Chapa Sirithunge

  28 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chapa Sirithunge from University of Cambridge about what robots can teach us about human anatomy, and vice versa.

Learning robust controllers that work across many partially observable environments

  27 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.

Human-robot interaction design retreat

  25 Nov 2025
Find out more about an event exploring design for human-robot interaction.

Robot Talk Episode 134 – Robotics as a hobby, with Kevin McAleer

  21 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Kevin McAleer from kevsrobots about how to get started building robots at home.

ACM SIGAI Autonomous Agents Award 2026 open for nominations

  19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence