GM Developing Wireless Pedestrian Detection Technology
DETROIT – General Motors researchers are developing a promising driver assistance feature designed to detect pedestrians and bicyclists on congested streets or in poor visibility conditions before the driver notices them.

DETROIT – General Motors researchers are developing a promising driver assistance feature designed to detect pedestrians and bicyclists on congested streets or in poor visibility conditions before the driver notices them.
The feature relies on Wi-Fi Direct, the peer-to-peer wireless standard that allows devices including some smartphones to communicate directly with each other rather than through a shared access point such as a cell phone tower.
GM researchers have determined Wi-Fi Direct can be integrated with other sensor-based object detection and driver alert systems already available on production vehicles to help detect pedestrians and bicyclists carrying smartphones equipped with Wi-Fi Direct.
The automaker also is looking to develop a complementary app for Wi-Fi Direct-capable smartphones that can be downloaded by frequent road users, such as bike messengers or construction workers. The app would help Wi-Fi Direct-equipped vehicles identify such people when they’re not readily visible to the driver.
“This new wireless capability could warn drivers about pedestrians who might be stepping into the roadway from behind a parked vehicle, or bicyclists who are riding in the car’s blind spot,” said Nady Boules, GM Global R&D director of the Electrical and Control Systems Research Lab. “Wi-Fi Direct has the potential to become an integral part of the comprehensive driver assistance systems we offer on many of our Chevrolet, Cadillac, Buick and GMC vehicles.”
Wireless pedestrian detection is part of GM’s ongoing development of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication systems that could provide advance warning about hazards such as slowed or stalled vehicles, slippery roads or intersections and stop signs.
By eliminating the intermediate step required to reach a cell phone tower, Wi-Fi Direct allows devices to connect in approximately one second compared to conventional wireless systems that typically need seven or eight seconds to acquire location information and connect.
“Wi-Fi Direct’s fast connections offer a distinct advantage in vehicle applications,” said Donald Grimm, GM Global R&D senior researcher of perception and vehicle control systems. “The quicker a vehicle can detect other Wi-Fi Direct users, the greater the potential for collision avoidance.”

According to the National Highway Traffic Safety Administration, 4,280 pedestrians and 618 bicyclists lost their lives in collisions with motor vehicles in 2010. Both totals were down by as much as 25 percent since 1995, consistent with overall traffic fatalities. GM’s potential use of Wi-Fi Direct is one way the automaker is working to help further reduce the number of traffic fatalities.
The Wi-Fi Alliance, the global industry association in charge of certifying wireless standards, claims Wi-Fi Direct devices can reach each other at a maximum distance of 656 feet, or more than two football fields away. In addition to aiding pedestrian detection, this range could enable secure transfers of files such as MP3s or digital address book information between a home computer and the user’s Wi-Fi Direct-equipped vehicle infotainment or navigation system.
“As we move toward becoming a more connected society, having a self-aware connected car will be increasingly important,” said Thilo Koslowski, vice president of automotive industry analysis at Gartner Inc., a leading information technology research and advisory company. “Not only can Wi-Fi Direct help vehicles seamlessly communicate with other consumer devices, it can also augment vehicle-to-infrastructure communications as well, which could lead to better traffic management and fewer accidents.”
To view a video about the research effort, click here and click on the full-screen option icon.
More Safety

Managing Road Risk at Scale: Why Fleet Safety Needs a Data-Driven Framework
Insights from the FIA Road and Driver Safety Indexes reveal how to manage road risk on a larger scale.
Read More →
Stellantis Recalls 1.3 Million Jeep Vehicles Worldwide Over Fire Risk
Stellantis is recalling more than 1.3 million Jeep Wrangler and Gladiator models worldwide over a fire risk linked to power steering pump wiring.
Read More →
Coaching Is Not Training, Even When AI Is Doing It
AI-powered safety platforms can detect risky behaviors and deliver immediate feedback. But effective driver development still requires a foundation of training followed by coaching that reinforces those skills.
Read More →
How Emotions Behind the Wheel Can Affect Fleet Safety
During National Safety Month, fleets are encouraged to look beyond distracted driving and recognize how stress, fatigue, and emotional well-being influence driver performance and crash risk.
Read More →
Nominations Open for 2026 Fleet Safety Award
Nominations have officially opened for the 2026 Fleet Safety Award Winner.
Read More →
Turning Connected Vehicle Data Into Decisions That Matter
Fleet leaders have more data than ever, but turning that data into clear, actionable decisions remains a challenge. This white paper shows how leading organizations are using connected vehicle data to improve safety, reduce costs, and optimize fleet performance. Learn how to turn insight into action across your fleet.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-time Prevention
Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Learn more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab.
Read More →
NAFA Fleet Safety Symposium to Collocate With 2026 Fleet Forward Conference
The daylong certificate program will precede the Fleet Forward Conference at the Gaylord National Harbor in Maryland.
Read More →
The Distractions You Can’t Turn Off: What Drivers Face Outside the Vehicle
Fleet drivers face constant visual, cognitive, and environmental interruptions the moment they hit the road. From roadside chaos to mental fatigue and digital overload, today’s biggest driving risks often come from outside the vehicle itself.
Read More →
FLASH Weather AI Launches First Deep-Learning Hail Prediction Model With High-Resolution Forecasting
FLASH Weather AI has launched a first-of-its-kind hail prediction model capable of forecasting hail size and arrival time at 1-kilometer resolution up to 55 minutes ahead, giving fleets and insurers critical time to prepare for severe storms.
Read More →
