Pony.ai Kicks Off 24/7 Robotaxi Operation in Major Chinese Cities
Pony.ai (NASDAQ: PONY) has launched 24/7 Robotaxi operations in Guangzhou and Shenzhen, expanding from its previous 15-hour daily service. The company has also extended testing to 24-hour operation in Beijing.
The autonomous driving system has accumulated over 50 million kilometers of global testing and 500,000 hours of driverless operation, achieving safety records reportedly 10 times better than human drivers. The company's seventh-generation Robotaxis feature advanced multi-sensor technology, including 128-beam LiDAR, 8-megapixel cameras, and 4D radar, enabling 360-degree perception up to 650 meters.
Built on the PonyWorld foundation model, the system includes proprietary sensor self-cleaning capabilities for reliable operation in various weather conditions, positioning the company for expanded commercial Robotaxi services across major Chinese cities.
Pony.ai (NASDAQ: PONY) ha avviato operazioni di Robotaxi 24/7 a Guangzhou e Shenzhen, estendendo il servizio precedente di 15 ore giornaliere. L'azienda ha inoltre esteso i test a operazioni 24 ore su 24 a Pechino.
Il sistema di guida autonoma ha accumulato oltre 50 milioni di chilometri di test a livello globale e 500.000 ore di funzionamento senza conducente, raggiungendo record di sicurezza considerati 10 volte migliori rispetto ai guidatori umani. I Robotaxi di settima generazione dell鈥檃zienda sono dotati di tecnologia multi-sensore avanzata, tra cui LiDAR a 128 fasci, telecamere da 8 megapixel e radar 4D, che permettono una percezione a 360 gradi fino a 650 metri.
Basato sul modello di fondazione PonyWorld, il sistema include capacit脿 proprietarie di auto-pulizia dei sensori per garantire un funzionamento affidabile in diverse condizioni meteorologiche, posizionando l鈥檃zienda per un鈥檈spansione dei servizi commerciali di Robotaxi nelle principali citt脿 cinesi.
Pony.ai (NASDAQ: PONY) ha lanzado operaciones de Robotaxi 24/7 en Guangzhou y Shenzhen, ampliando su servicio previo de 15 horas diarias. La compa帽铆a tambi茅n ha extendido las pruebas a operaci贸n 24 horas en Beijing.
El sistema de conducci贸n aut贸noma ha acumulado m谩s de 50 millones de kil贸metros de pruebas globales y 500,000 horas de operaci贸n sin conductor, logrando r茅cords de seguridad que se reportan 10 veces mejores que los conductores humanos. Los Robotaxis de s茅ptima generaci贸n de la empresa cuentan con tecnolog铆a avanzada multi-sensor, incluyendo LiDAR de 128 haces, c谩maras de 8 megap铆xeles y radar 4D, que permiten percepci贸n de 360 grados hasta 650 metros.
Construido sobre el modelo base PonyWorld, el sistema incluye capacidades propietarias de autolimpieza de sensores para un funcionamiento confiable en diversas condiciones clim谩ticas, posicionando a la compa帽铆a para la expansi贸n de servicios comerciales de Robotaxi en las principales ciudades chinas.
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Pony.ai (NASDAQ : PONY) a lanc茅 des op茅rations de Robotaxi 24h/24 et 7j/7 脿 Guangzhou et Shenzhen, 茅tendant son service pr茅c茅dent de 15 heures par jour. La soci茅t茅 a 茅galement 茅tendu les tests 脿 une op茅ration 24 heures sur 24 脿 P茅kin.
Le syst猫me de conduite autonome a accumul茅 plus de 50 millions de kilom猫tres d鈥檈ssais mondiaux et 500 000 heures d鈥檈xploitation sans conducteur, atteignant des records de s茅curit茅 rapport茅s comme 茅tant 10 fois sup茅rieurs 脿 ceux des conducteurs humains. Les Robotaxis de septi猫me g茅n茅ration de l鈥檈ntreprise int猫grent une technologie multi-capteurs avanc茅e, incluant un LiDAR 脿 128 faisceaux, des cam茅ras de 8 m茅gapixels et un radar 4D, permettant une perception 脿 360 degr茅s jusqu鈥櫭� 650 m猫tres.
Construit sur le mod猫le de base PonyWorld, le syst猫me comprend des capacit茅s propri茅taires d鈥檃uto-nettoyage des capteurs pour un fonctionnement fiable dans diverses conditions m茅t茅orologiques, positionnant l鈥檈ntreprise pour une expansion des services commerciaux de Robotaxi dans les principales villes chinoises.
Pony.ai (NASDAQ: PONY) hat den 24/7-Robotaxi-Betrieb in Guangzhou und Shenzhen gestartet und erweitert damit den bisherigen 15-Stunden-Tagesdienst. Das Unternehmen hat au脽erdem die Tests auf einen 24-Stunden-Betrieb in Peking ausgeweitet.
Das autonome Fahrsystem hat 眉ber 50 Millionen Kilometer globaler Tests und 500.000 Stunden fahrerlosen Betriebs angesammelt und erreicht Sicherheitswerte, die Berichten zufolge 10-mal besser sind als bei menschlichen Fahrern. Die siebte Generation der Robotaxis des Unternehmens verf眉gt 眉ber fortschrittliche Multi-Sensor-Technologie, darunter 128-Strahl-LiDAR, 8-Megapixel-Kameras und 4D-Radar, die eine 360-Grad-Wahrnehmung bis zu 650 Metern erm枚glichen.
Basierend auf dem PonyWorld-Grundmodell beinhaltet das System propriet盲re Sensor-Selbstreinigungsfunktionen f眉r einen zuverl盲ssigen Betrieb unter verschiedenen Wetterbedingungen und positioniert das Unternehmen f眉r eine erweiterte kommerzielle Robotaxi-Dienstleistung in den wichtigsten chinesischen St盲dten.
- Expansion to 24/7 Robotaxi operations in multiple major Chinese cities
- System demonstrates safety performance 10x better than human drivers
- Advanced multi-sensor technology enables operation in all lighting conditions
- Extensive operational validation with 50M+ km of testing and 500,000 hours of driverless operation
- Operations currently limited to Chinese markets
- Requires extensive sensor hardware compared to vision-only systems
Insights
Pony.ai's 24/7 robotaxi expansion represents a significant operational milestone, demonstrating technical readiness for full commercial deployment.
Pony.ai's expansion to 24/7 operations in Guangzhou and Shenzhen marks a critical operational milestone that demonstrates the technical maturity of their autonomous system. The transition from 15-hour to round-the-clock service indicates confidence in their system's ability to handle challenging low-light conditions that typically pose significant challenges for autonomous vehicles.
The company's multi-sensor fusion architecture is particularly noteworthy. While competitors like Tesla rely primarily on vision-based systems, Pony.ai's integration of 128-beam LiDAR, 8-megapixel cameras, and 4D imaging millimeter-wave radar provides crucial redundancy for nighttime operation. This approach addresses fundamental challenges in autonomous driving: detecting low-contrast objects in darkness and managing headlight glare from oncoming traffic.
Their operational metrics are impressive - 50 million kilometers of testing and 500,000 hours of driverless operation provide substantial validation. The claim of being ten times safer than human drivers, while an internal metric requiring independent verification, suggests promising safety performance.
The deployment across four major Chinese metropolises (Beijing, Shanghai, Guangzhou, and Shenzhen) represents significant scale. The seventh-generation fleet deployment indicates iterative hardware and software development, with their PonyWorld foundation model architecture suggesting a sophisticated AI approach to autonomous driving.
This expansion positions Pony.ai to potentially capture significant market share in late-night transportation, an underserved segment where traditional ride-hailing services often face driver shortages and higher costs.
The initiative builds on Pony.ai's extensive operational foundation, with over 50 million kilometers of global autonomous testing. These efforts cover a wide range of traffic and lighting conditions 鈥� from midday congestion to late-night driving 鈥� providing robust validation of system performance under real-world scenarios.
The company's proprietary autonomous driving system 鈥� its "virtual driver" 鈥� has logged more than 500,000 hours of driverless operation. According to internal metrics, the system has achieved a safety record up to ten times safer than that of human drivers. This continuous validation has sharpened the system's ability to respond to complex road environments and changing weather conditions.
At the heart of Pony.ai's sensing and perception capabilities is a multi-sensor fusion architecture that integrates high-performance 128-beam LiDAR, 8-megapixel cameras, and 4D imaging millimeter-wave radar. Together, these components deliver real-time, 360-degree perception 鈥� even in low-light or nighttime settings.
Unlike vision-only systems that rely heavily on ambient light, Pony.ai's use of active sensing technologies such as LiDAR and radar adds critical redundancy. This enables the detection of low-contrast objects like pedestrians in dark clothing, reduces the impact of headlight glare, and supports safe navigation on poorly lit or unlit roads.
This level of capability is made possible by the company's advanced autonomous driving software stack, built on its "PonyWorld foundation model and virtual driver" architecture. Deployed in its seventh-generation Robotaxi fleet, the system enables stable, high-precision detection of road features, signage, vehicles, and pedestrians 鈥� from nearby blind spots to distances of up to 650 meters. To ensure reliability in harsh conditions, the vehicles are also equipped with a proprietary sensor self-cleaning system that mitigates the impact of rain, fog, dusts and road debris.
As Pony.ai continues to scale its seventh-generation Robotaxi fleet across
As cities grow quieter after dark, late-night commuters may find a new kind of travel companion: a safe, reliable Robotaxi 鈥� always on, always ready.
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SOURCE Pony.ai
FAQ
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