Lightning eMotors Partners with Perrone Robotics to Offer Fully Autonomous Vehicle Option to Zero-Emission Fleet Customers
Lightning eMotors (NYSE: ZEV) has partnered with Perrone Robotics to offer self-driving electric vehicles for Class 3 - 7 commercial fleets. This collaboration enhances Lightning's zero-emissions platform with Perrone's autonomous technology, TONY®, which is vehicle-agnostic and can be deployed for various dedicated uses. The first customer, PIDC, has ordered an all-electric shuttle for the Philadelphia Navy Yard, demonstrating immediate market interest. Lightning plans to offer Level 2 and Level 4 autonomous applications, catering to rising demand in sectors such as logistics and urban transport.
- Partnership with Perrone Robotics expands the autonomous electric vehicle offerings.
- First customer purchase demonstrates market demand for autonomous shuttle solutions.
- Lightning's vehicles can now serve a wide range of dedicated uses in commercial applications.
- None.
- Lightning’s medium-duty zero-emission fleet offerings now include Level 2 and Level 4 autonomous vehicle capability
- Perrone’s vehicle-agnostic TONY® AV system is available for all Lightning vehicle orders
- Perrone’s proven Lidar-centric autonomous technology a differentiating factor
A Lightning electric van equipped with Perrone Robotics’ autonomous driving system goes through its paces at Perrone’s proving ground in
The partnership expands Lightning’s zero-emissions EV platform offerings to include Perrone’s AV-powered technology, TONY®, a vehicle-independent retrofit kit designed to enable vehicles to transport people and goods in geo-fenced and dedicated driving routes. Vehicles equipped with Perrone’s self-driving technology embedded into Lightning’s vehicles for both cargo and passenger uses can be ordered immediately.
“We were looking for partners who could deliver autonomous capabilities to our customers today, and in the future — and that’s what Perrone offers,”
PIDC,
Perrone is a leading provider of AV technology and turnkey vehicle solutions. The company holds a Pioneer Patent for its “MAX” general purpose robotics operating system, which is the backbone of its TONY solution. Together with MAX, TONY is one of the most flexible and adaptable AV solutions available in the current market. Perrone’s AV retrofit kit can be integrated into new vehicles and can also be integrated into existing, repowered vehicles.
“A lot of electric vehicle manufacturers are focused on just one vehicle size, and in many cases it’s a bespoke custom platform,”
Initially, Lightning will deploy Perrone’s technology into two product categories, including fully autonomous Level 4 application environments with dedicated routes such as college campuses, and Level 2 applications for high-end visual and safety features for commercial vehicles. Currently, Level 4 vehicles can only operate in geo-fenced areas, but demand for this use is rising as campuses, logistics yards, downtown business districts, resorts, and other organizations and municipalities seek EV/AV solutions.
Level 2 autonomous vehicles are also seeing rising demand, especially for transit vehicle operators, who can benefit from the state-of-the-art safety features, including lane-keeping capability, adaptive cruise control and forward collision avoidance. All of these features are now available among Lightning’s platform offerings and will be powered by lidar technology, fused with radar to add an additional layer of redundancy that’s important for all Lightning applications.
“Our customers are telling us they want this technology and now we can deliver it. These vehicles are ideal for college campuses, downtown business districts, vacation resorts and for large logistics yards,” Reeser said. “And, thanks to our partnership with Perrone, we stand alone as the only all-electric commercial vehicle provider that can offer Class 3 – 7 medium-duty vehicles that are fully autonomous and are certified by the departments of transportation, local transit agencies and other commercial organizations.”
A video of a Lightning electric van equipped with Perrone Robotics’ autonomous system can be found here: https://link.assetfile.io/4njY9uifJsHAg1BPHcR52q.mp4.
About
About
Perrone is a leading provider of fully automated vehicle systems. The company delivers mobility excellence via TONY® (short for "TO Navigate You"), a vehicle independent retrofit kit for use in the automated transit of people and goods in geo-fenced and localized operations. TONY embeds inside any vehicle type or model, for any job application to provide a complete "artificial driver" solution that brings full autonomy in a safety certifiable framework. Proven, piloted, and in commercial production, Perrone automated systems help commercial, municipal, and governmental customers increase transportation efficiencies, enhance safety, and accelerate zero-emission electric vehicle deployment. The company also offers a portfolio of existing turnkey automated shuttles and vehicles pre-integrated with the TONY AV-Retrofit kit. Learn more @ www.perronerobotics.com or follow us @perronerobotics.
Forward-Looking Statements
This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, as amended. Such forward-looking statements include, but are not limited to, Lightning eMotors’ expectations, hopes, beliefs, intentions, plans, prospects or strategies regarding the future business plans. Any statements contained herein that are not statements of historical fact may be deemed to be forward-looking statements. In addition, any statements that refer to projections, forecasts or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking statements. The words “anticipate,” “believe,” “continue,” “could,” “estimate,” “expect,” “intends,” “may,” “might,” “plan,” “possible,” “potential,” “predict,” “project,” “should,” “would” and similar expressions may identify forward-looking statements, but the absence of these words does not mean that a statement is not forward-looking. The forward-looking statements contained in this press release are based on certain assumptions and analyses made by the management of
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