Skip to main content

IAM RoadSmart welcomes US study on benefits of humans and new vehicles working together

UK independent road safety charity IAM RoadSmart has welcomed a new white paper which it says supports its statement that we will not gain the full safety benefits of self-driving cars until every car on the road is connected to each other. Until then, IAM RoadSmart believes that the human mind holds the edge, until such point that connected cars actually ‘talk’ to each other and predict what is happening over the horizon. According to the white paper, Sensor Fusion: A Comparison of Sensing Capabilities of
August 17, 2017 Read time: 3 mins

UK independent road safety charity IAM RoadSmart has welcomed a new white paper which it says supports its statement that we will not gain the full safety benefits of self-driving cars until every car on the road is connected to each other. Until then, IAM RoadSmart believes that the human mind holds the edge, until such point that connected cars actually ‘talk’ to each other and predict what is happening over the horizon.

According to the white paper, Sensor Fusion: A Comparison of Sensing Capabilities of Human Drivers and Highly Automated Vehicles, written by Brandon Schottle of the 5594 University of Michigan, machines/computers are generally well suited to perform tasks like driving, especially in regard to reaction time (speed), power output and control, consistency, and multichannel information processing. Human drivers still generally maintain an advantage in terms of reasoning, perception, and sensing when driving.

He added: “While no single sensor completely equals human sensing capabilities, some offer capabilities not possible for a human driver.

“In the short to medium term AV [autonomous vehicle] sensing systems will still be critical for detection of any road user or roadway obstacle that is not detected and shared by connected vehicles which is where the human brain comes in.”

Schottle pointed out a number of circumstances in which both human capability and a connected vehicle’s perception can be compromised – thus increasing the need for each party to work together – such as extreme weather, excessive dirt or physical obstructions, darkness or low illumination, large physical obstructions and dense traffic.

The report also pointed out where the human brain wins out over a vehicle’s ‘brain’; it said in the areas of memory, reasoning, sensing and perception, human involvement is both desirable and advantageous.

Neil Greig, IAM RoadSmart director of policy and research, said: “The ultimate win-win situation is a place where information from each vehicle is shared with the vehicles around it; add that to human experience born from a lifetime of ‘trial and error’ and you have the ideal double-act to spot crashes before they happen.”

Back in March, IAM RoadSmart warned that cars with growing levels of autonomy could make motorists lazy and over reliant on gadgets – with far reaching implications for the potential reduction of people killed and seriously injured on the roads.

Greig said at the time: “When it comes to driverless cars, IAM RoadSmart members are not keen to give up full control. The implications for future driver competence and training as we become more reliant on technology are still far from clear.”

The House of Lords Science and Technology Committee report Connected and Autonomous Vehicles: The future? echoed this view, stating: “Autonomous cars could have negative implications for drivers' competence, making drivers complacent and overly reliant on technology. This is of particular concern in emergency situations, where a driver may react slowly to taking back control of a vehicle.”

For more information on companies in this article

Related Content

  • Navtech Radar and Vysionics ITS announce strategic partnership
    October 24, 2012
    Navtech Radar and Vysionics ITS are to enter into a strategic partnership that will combine Navtech’s expertise in millimetre-wave wide-area surveillance technology with Vysionics’ machine vision-based Automatic Number Plate Recognition (ANPR) and average speed measurement competencies.Navtech Radar and Vysionics ITS are to enter into a strategic partnership that will combine Navtech’s expertise in millimetre-wave wide-area surveillance technology with Vysionics’ machine vision-based Automatic Number Plate
  • Radar reinforces detection efficiency
    March 16, 2016
    Radar can have distinct advantages in some transport-related situations as Colin Sowman found out during a visit to Navtech Radar. Despite tremendous advances in machine vision techniques, the accuracy and reliability of camera-based detection systems suffer during periods of poor visibility where other technologies may offer an alternative. Radar is one such technology. It too has seen significant development in recent years and according to Navtech Radar, the technology can often fulfil detection and moni
  • The rise and rise of robo-car
    July 23, 2019
    When it comes to driverless cars, there are many variables – but one thing is for certain: autonomous driving will have a significant impact on vehicle design, says Andreas Herrmann The transition to autonomous vehicles (AVs) means that many of the factors which have shaped automotive design for the past 130 years no longer apply. At present, the design of a car is largely determined by the anticipated direction of travel: the car’s silhouette immediately shows where the front and back are. Driverless ve
  • Missouri’s smart solution for rural road monitoring
    July 7, 2017
    David Crawford sees how Missouri is using commercially available information to rapidly improve monitoring and driver information on rural highways. Missouri is a predominantly rural state with the second largest number of farms in the country and agriculture the main occupation in 97 of its 114 counties. US statistics starkly reveal how road accidents in rural areas tend to be more serious than in urban regions and of the 32,000 US motorists killed each year, 54% die on roads in rural areas even though onl