Top 10 Alternatives to Xevo Journeyware Recently Reviewed By G2 Community
AI can help you find the answers. G2 helps you trust them.
Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.
How it works
Selenium is Oxbotica's flagship autonomous control system, designed to transform various vehicles into self-driving entities without relying on GPS. This vehicle-agnostic software suite enables robust navigation and operation across diverse environments, including indoor, outdoor, and underground settings. By integrating advanced AI and machine learning algorithms, Selenium provides vehicles with situational awareness, allowing them to perceive surroundings, detect obstacles, and make informed decisions to complete tasks safely and efficiently. Key Features and Functionality: - Vehicle Agnostic: Compatible with a wide range of vehicles, from cars and self-driving pods to warehouse trucks and forklifts. - GPS Independence: Operates effectively without GPS, ensuring reliable performance in environments where GPS signals are weak or unavailable, such as urban canyons, forests, or underground facilities. - Advanced Perception: Utilizes a combination of sensors and proprietary algorithms to detect and predict the movement of vehicles, people, and other objects, even in complex scenes and varying weather conditions. - Precise Positioning: Achieves high-precision, robust, and reliable vehicle positioning, enabling safe navigation in challenging locations without the need for external infrastructure. - Smooth Vehicle Control: Ensures safe and optimal path planning and vehicle control, providing comfortable and reassuring passenger experiences. Primary Value and User Solutions: Selenium addresses the growing demand for autonomous vehicle solutions by offering a flexible, scalable, and efficient platform that can be deployed across various industries. Its ability to function without GPS and adapt to different vehicle types and environments makes it particularly valuable for applications in logistics, warehousing, and urban transportation. By enabling vehicles to operate autonomously in complex and dynamic settings, Selenium enhances operational efficiency, reduces costs, and improves safety for businesses and their customers.
Amazon Web Services (AWS) enables automotive manufacturers and suppliers to build serverless IoT applications that gather, process, analyze, and act on connected vehicle data, without having to manage any infrastructure. With AWS IoT, customers can connect vehicles and devices to the AWS Cloud securely, with low latency and with low overhead.
IBM IoT Connected Vehicle Insights extends the power of cognitive computing to connected cars—acquiring data from sensors and systems to improve the in-car experience. Today's cars are moving data centers with onboard sensors and computers that can capture information about the vehicle and access it in near real time. IBM IoT for Automotive is a cloud service that you can use to retrieve, manage and analyze big data from connected vehicles.
unlocks the value in car data to help create smarter, safer, better and greener journeys for drivers globally
AutoInsights is Wipro’s homegrown, end-to-end connected vehicle platform that uses telematics devices to capture data from automobiles, crunches data in the custom-built analytics engine, and offers a wide range of benefits to vehicle and fleet owners, telecom providers, device vendors, insurers, vehicle service stations, car resellers, transportation departments, law agencies, and the wider automobile ecosystem players. AutoInsights is built on open-source tools, with best-in-class cloud and digital technologies from the market’s leading product vendors.
BlackBerry IVY is a cloud-connected, in-vehicle software platform co-developed by BlackBerry and Amazon Web Services . It enables automakers to securely access and process vehicle sensor data both locally within the vehicle and in the cloud. By standardizing data across all vehicle systems and facilitating machine learning processing at the edge, IVY allows for the rapid development of data-driven services that enhance driver and passenger experiences, reduce operational costs, and create new business opportunities. Key Features and Functionality: - Edge Processing: IVY processes data directly within the vehicle, allowing ML models to run on-vehicle. This optimizes the use of in-vehicle processing and cloud computing resources, reducing latency and data transmission costs. - Standardized Data Access: By abstracting the underlying vehicle hardware and software interfaces, IVY provides standardized access to vehicle sensor data. This simplifies integration across different vehicle models and reduces development time for new applications. - Developer-Friendly Tools: IVY offers a suite of Software Development Kits , Application Programming Interfaces , tools, samples, and documentation. These resources enable developers to easily interact with vehicle data using familiar methods, fostering innovation and accelerating the creation of new services. - Cloud Management Console: Automakers and their partners can use IVY's cloud console to deploy and update ML code, configure data access rights, and monitor in-vehicle software, all through an intuitive interface. Primary Value and Solutions Provided: BlackBerry IVY addresses the automotive industry's challenges related to data access, collection, and management. Modern vehicles consist of numerous components from various suppliers, each generating data in unique formats. IVY standardizes this data, enabling automakers to develop and deploy new in-vehicle applications and connected services more efficiently. By processing data at the edge, IVY reduces the need for extensive data transmission to the cloud, lowering costs and improving response times. This empowers automakers to offer personalized, responsive in-vehicle experiences, enhance vehicle performance, and unlock new revenue streams through innovative services.
The car data services platform that yields happier drivers and smarter cities.
Simcenter Prescan is a physics-based simulation platform designed for the development and validation of Advanced Driver Assistance Systems and autonomous vehicles. It enables engineers to virtually test and verify vehicle systems across a multitude of scenarios, significantly reducing the need for extensive physical testing. By replicating real-world traffic conditions, sensor interactions, and environmental factors, Simcenter Prescan facilitates a systematic development approach, leading to shorter feedback loops and accelerated adaptation cycles. Key Features and Functionality: - Comprehensive Scenario Modeling: Quickly replicate real-world traffic scenarios using an extensive database of roads, infrastructure components, actors, weather conditions, and light sources. - Advanced Sensor Simulation: Integrate high-fidelity sensor models, including radar, lidar, cameras, ultrasonic sensors, and GPS, to test vehicle interactions with their surroundings. - Control System Integration: Design and verify algorithms for data processing, sensor fusion, decision-making, and control through interfaces compatible with MATLAB and Simulink. - Automated Experimentation: Run experiments across multiple operating systems and platforms, utilizing orchestration tools to automate parameter variations for roads, paths, actions, speed profiles, lighting conditions, weather phenomena, sensor configurations, and algorithms. - Scalable Validation: Support for Model-in-the-Loop , Software-in-the-Loop , Hardware-in-the-Loop , Driver-in-the-Loop , and Vehicle-in-the-Loop applications, enabling comprehensive testing from component-level to full system validation. Primary Value and Problem Solved: Simcenter Prescan addresses the challenge of validating the safety and reliability of ADAS and autonomous vehicle systems, which traditionally require extensive physical testing over billions of miles. By providing a virtual environment for testing, it allows engineers to conduct thorough and repeatable assessments of vehicle systems under diverse conditions, ensuring performance and safety before real-world deployment. This approach not only reduces development time and costs but also enhances the robustness and reliability of autonomous driving technologies.
Stellardian is a SaaS platform for all types of car rental, car sharing and free floating services. It manages the customer journey (booking, identification, key-less self-service, payment) and the entire rental cycle for rental agencies, private and public services with its white label solution.
Mojio is the cloud platform & SaaS provider of choice for automakers & mobile network operators looking to build connected car services.