When EPFL researchers fused the data from two intelligent vehicles, the result was a wider field of view, extended situational awareness and greater safety.
Intelligent vehicles get their intelligence from cameras, Light Detection and Ranging (LIDAR) sensors, and navigation and mapping systems. But there are ways to make them even smarter. Researchers at EPFL are working to improve the reliability and fault tolerance of these systems by combining the data they gather with that from other vehicles. This can, for example, extend the field of view of a car that is behind another car. Using simulators and road tests, the team has developed a flexible software framework for networking intelligent vehicles so that they can interact.
“Today, intelligent vehicle development is focused on two main issues – the level of autonomy and the level of cooperation,” says Alcherio Martinoli, who heads EPFL’s Distributed Intelligent Systems and Algorithms Laboratory (DISAL). Over the past several years, his team has been working on cooperation issues, which have yet to garner much attention from the automotive industry. As part of his PhD thesis, Milos Vasic has developed cooperative perception algorithms, which extend an intelligent vehicle’s situational awareness by fusing data from onboard sensors with data provided by cooperative vehicles nearby.
The researchers used the cooperative perception algorithms as the basis for the software framework. For example, in a scenario in which one car overtakes another car on a two-lane road, they developed an assistance system that assesses the risk of the overtaking manoeuver. The risk assessment factors in the probability of an oncoming car in the opposite lane as well as kinematic conditions such as driving speeds, the distance required to overtake and the distance to the oncoming car. Cooperative perception means that an intelligent vehicle can combine its own data with that of another vehicle – such as the one it wants to overtake, which has a wider field of view. In this way, the decision whether or not to overtake can be made safely. According to Vasic, “cooperative perception makes overtaking safer and more fluid.”
Seeing two pedestrians instead of one
At first, the team used a simulator to test their algorithms under various scenarios, both with and without cooperative vehicles nearby. Then, with help from Groupe PSA, they took their project on the road. Two Citroen C-Zero electric cars were retrofitted with a Mobileye camera, an accurate localization system, a router to enable Wi-Fi communication, a computer to run the software and an external battery to power everything. “These were not autonomous vehicles,” says Martinoli, “but we made them intelligent using off-the-shelf equipment.”
Success did not come easily, however. One of the difficulties in fusing data from the two vehicles involved relative localization. The cars needed to be able to know precisely where they are in relation to each other as well to objects in the vicinity. If a single pedestrian does not appear to both cars to be in the same exact spot, there is a risk that, together, they will see two figures instead of one. By using other signals, particularly those provided by the LIDAR sensors and cameras, the researchers were able to correct flaws in the navigation system and adjust their algorithms accordingly. This exercise was all the more challenging as the data had to be processed in real time while the vehicles were in motion. “Because of this, the project also helped improve the accuracy of localization more generally,” Vasic says. Although the tests involved only two vehicles, the longer-term goal is to create a network between multiple vehicles as well with the roadway infrastructure.
In addition to driving safety and comfort, cooperative networks of this sort could eventually be used to optimize a vehicle’s trajectory, save energy and improve traffic flows. The team is aware, however, that many questions – which are beyond the scope of their research – remain unanswered. To begin with, there is the issue of liability in the case of an accident. Determining liability – which already involves the owner, car manufacturer and software designer or supplier – becomes even more complicated when vehicles cooperate. “The answers to these issues will play a key role in determining whether autonomous vehicles are accepted,” adds Martinoli.
Learn more: Two intelligent vehicles are better than one
The Latest on: Networked intelligent vehicles
- Geospatial Analytics Artificial Intelligence Market Estimated to Reach $160 Million by 2025on April 16, 2021 at 7:53 am
The Global Geospatial Analytics Artificial Intelligence Market is estimated to reach 160 million by 2025 growing at a CAGR of 32 5 from 2020 to 2025 Geospatial Analytics Artificial Intelligence ...
- Artificial Intelligence (AI) Chipsets Market Share Current and Future Industry Trends, 2020-2026on April 16, 2021 at 3:20 am
Selbyville, Delaware, As per the report titled ' Artificial Intelligence (AI) Chipsets Market Size By Product, By Technology, By Processing Type, By Industry Vertical, Industry Analysis Report, ...
- West Lothian Council maps its road network with Artificial Intelligence appon April 16, 2021 at 2:37 am
West Lothian Council is pioneering digital mapping of its entire road network through an Artificial Intelligence (AI) app. It’s charting new ways to save time and money and iden ...
- Shell says electric vehicles will be crucial in its efforts to lower carbon emissionson April 16, 2021 at 1:50 am
Huibert Vigeveno, downstream director at Shell, said the company intends to grow its global electric vehicle charging stations network worldwide.
- Artificial Intelligence And The Internet Of Things (AIoT) Hold The Promise Of A More Connected Futureon April 15, 2021 at 11:41 pm
The Internet of Things and Artificial Intelligence are the two most emerging technologies in the world right now. As researchers are expanding the potential of these two technologies, more and more ...
- Samsung Introduces PixCell LED for Intelligent Headlight Systems to Enhance Road Safetyon April 15, 2021 at 1:11 am
Much more than a simple automotive lighting source, Samsung’s PixCell LED is based on new lighting technology designed to improve road safety and driving convenience,” said Un Soo Kim, senior vice ...
- Video River Networks Announces Company Record Annual Revenue of $1,628,136 for Full Year 2020on April 14, 2021 at 8:07 am
Inc. Video River Networks, Inc. is an Electric Vehicles and Battery Technology holding company that operates and manages a portfolio of Electric Vehicles, Artificial Intelligence, Machine Learning and ...
- Beijing maps demo zone for developing intelligent connected vehicleson April 13, 2021 at 10:06 pm
The Beijing municipal government has approved the designation of a demonstration zone for boosting the development of intelligent ...
- Inspur Information Launches Intelligent Edge Microserver EIS200 Series Compatible with Multiple Edge Inference Modules at GTC21on April 12, 2021 at 10:00 am
Inspur Information Launches Intelligent Edge Microserver EIS200 Series Compatible with Multiple Edge Inference Modules at GTC21 ...
- VinFast Selects NVIDIA DRIVE to Power Next-generation Intelligent Autonomous Electric Vehicleson April 12, 2021 at 7:00 am
HANOI, VIETNAM - Media OutReach - 12 April 2021 - VinFast Trading and Production LLC announced today that it has selected NVIDIA DRIVE Orin for its new generation of autonomous electric vehicles ...
via Google News and Bing News