Best Autonomous Driving Software in Australia

iZND GPS Server is a leading web based GPS tracking platform successfully used by transportation companies, police and fire departments, utility companies, service organizations and other businesses with mobile workers around the world. iZND GPS Tracking Server scales from small installations to thousands of vehicles and operators. The platform supports hundreds of different tracking devices, a large number of maps and languages. Big companies and tracking partners can create separate tracking applications for different departments or customers on a single iZND GPS Server installation. The platform offers real time GPS tracking of multiple vehicles in a web browser. A live view of the entire vehicle fleet gives you control, the best vehicle can be dispatched for a job and specific vehicles can be followed when required. Alerts and notifications are instantly available in the application.

openpilot is open source software built to improve upon the existing driver assistance in most new cars on the road today. Tesla Autopilot like functionality for your Toyota, Honda, and other top brands. While engaged, openpilot includes camera based driver monitoring that works both day and night to alert the driver when their eyes are not on the road ahead.

Easily monitor your vehicles. Make your drivers' commute more enjoyable. Optimize your fleet use. Our Team is here for you. We help you rationalize your vehicle fleet, whether we're taking short/long-term lease, corporate/peer to peer carsharing, autonomous vehicle service etc. Offering full portfolio of mobility solutions : onboard telematics, online supervision platforms and mobile apps. Managing a mobility service has never been so easy. Limitless mobility for your drivers. An innovative all-inclusive service. For Corporate or P2P use. Say goodbye to your keyboxes. Drivers now use their badge, smartphone or smart watch to unlock your fleet. Connect to your fleet through User or Manager Portal. Your vehicles are now available anywhere, anytime. Mentoring programs, 24/7 customer service, PR, training: a dedicated Mobility Manager will assist you all along your mobility project.

DeepRoute.ai aims to provide the safest, smartest, and most reliable Level 4 full-stack self-driving solution. We are committed to innovating the future of transportation through the power of technology. DeepRoute.ai cooperates with OEMs and mobility Companies, achieving self-driving commercialization. DeepRoute.ai utilizes advancements in technological research and commercialization to collaborate with OEMs, mobility companies, and other partners to make self-driving more readily available to the public. Through semantic mapping and a real-time positioning system, DeepRoute.ai’s planning and control algorithm can plan the optimal path under complex road environments, and provide a safe, comfortable and effective driving experience.

We co-create smart solutions that empower clients to make the transition to sustainable mobility and enable the automotive world to move forward. Driven by the convergence of new technologies, AI, IoT, connected infrastructure, digitization, electrification, we’re rapidly advancing toward a revolutionized automotive future. An exciting time, providing the ultimate freedom with zero accidents, zero emissions and zero ownership. This is a great prospect for society, the economy and the environment. We enable automakers to innovate across vital areas of advanced automotive and mobility technology. Combining the agility, energy and speed of a startup with the reach, positioning and manpower of an enterprise, we deliver highly complex solutions, at speed, in critical environments. Meet your current and future software needs in the age of autonomous driving. Differentiate with highly personalized and intelligent in-vehicle experiences.

RTMaps (Real-time multisensor applications) is a highly-optimized component-based development and execution middleware. Thanks to RTMaps, developers can design complex real-time systems and perception algorithms for their autonomous applications such as mobile robots, railway, defense but also ADAS and Highly automated driving. RTMaps is a versatile swiss-knife tool to develop and execute your application and offering multiple key benefits: ● Asynchronous data acquisition ● Optimized performance ● Synchronous recording and playback ● Comprehensive component libraries: over 600 I/O software components available ● Flexible algorithm development: Share and collaborate ● Multi-platform processing ● Cross-platform compatibility and scalable: from PC, Embedded targets, to the Cloud. ● Rapid prototyping and testing ● Integration with dSPACE tools ● Time and resource savings ● Limiting Development risks, errors and efforts. ● Certification ISO26262 ASIL-B: on demand

Tronis is an environment for virtual prototyping and for safeguarding driver assistance systems, e.g. for highly automated or autonomous driving . Based on a modern 3D game engine, real driving situations and traffic scenarios can be efficiently mapped and used for testing, e.g. for camera and radar-based environment detection. This can significantly accelerate the development of corresponding systems and reduce the need for real prototypes.

● Application platform for autonomous driving systems that recognizes external environment through various collective data, and autonomously drive based on appropriate judgment ● Scalable distributed computing environment backed by many-core processors, and various types of processors to support advanced computing power required for intelligent information processing ● Scalable platform that allows software assets to be run on various hardware resources with real-time capability to ensure reliability and safety

Simple and secure access to the world’s connected car data all in one place, helping our partners to innovate and solve mobility problems. The way we travel is changing. We’re living in a world that’s hyper-connected and our cars are becoming increasingly more connected too. Connected car data can offer you valuable insights to help transform your business and shape your future. Connected car data is accurate, authentic and most importantly, useful. The data comes from actual vehicles on the road, giving you unrivalled insights into driver needs and behaviours. We partner with leading vehicle manufacturers to harness the power that this data holds and make accessing it simple. For private and public sector businesses, the benefits of connected car data are huge. From locating traffic hotspots, to finding out where there are safety risks, to gaining insight into driver patterns and trends.

NVIDIA DRIVE® Map is a multi-modal mapping platform designed to enable the highest levels of autonomy while improving safety. It combines the accuracy of ground truth mapping with the freshness and scale of AI-based fleet-sourced mapping. With four localization layers—camera, lidar, radar, and GNSS—DRIVE Map provides the redundancy and versatility required by the most advanced AI drivers. DRIVE Map is designed for the highest level of accuracy, the ground truth map engine creates DRIVE Maps using rich sensors—cameras, radars, lidars, and differential GNSS/IMU—with NVIDIA DRIVE Hyperion data collection vehicles. It achieves better than 5 cm accuracy for higher levels of autonomy (L3/L4) in selected environments, such as highways and urban environments. DRIVE Map is designed for near real-time operation and global scalability. Based on both ground truth and fleet-sourced data, it represents the collective memory of millions of vehicles.

PRODRIVER is Embotech’s solution to the problem of motion planning for autonomous or highly-automated vehicles. It is an essential component of the autonomous driving software stack, within the so-called ‘decision making’ layer. As a motion planner, PRODRIVER is responsible to generate drivable trajectories or directly actuator commands such as steering, accelerating and braking. These are computed given the surrounding environment information. PRODRIVER does so by continuously making predictions and solving an optimization problem in real time. Its most important inputs are information about the drivable space, the obstacles within it and a goal (which could be a position or an objective such as making progress along a route). Its outputs can be used directly to control the vehicle or to provide set-points for the vehicle’s low-level controllers to track. The diagram below gives a schematic overview of how PRODRIVER is integrated within a typical autonomous vehicle software stack.

42dot combines cutting-edge technology with tailored connected services to optimize the process of moving people and goods. Our goal is to create a fully autonomous, centralized infrastructure for autonomous and frictionless transportation services. By accelerating the transition to autonomous Transportation-as-a-Service, we hope to bring valuable, life-enhancing products to the market. UMOS is a comprehensive mobility and logistics platform that integrates all forms of ground and air transportation services such as e-hailing, fleet management, demand-responsive transport, smart logistics and more. The platform encompasses multiple layers of functionality built with robust technology that provides enterprise-level scale. UMOS aims to create an ecosystem where we no longer have to worry about getting around. UMOS will take care of our mobility needs and everything related to being in motion.

Momenta is a leading autonomous driving technology company. Momenta is dedicated to reshaping the future of mobility by offering solutions to enable multiple levels of driving autonomy. It has pioneered a unique scalable path toward full autonomous driving by combining a data-driven approach with iterating algorithms, referred to as its “flywheel approach”, as well as a “two-leg” product strategy focusing on both Mpilot, its mass-production-ready highly autonomous driving solutions, and MSD (Momenta Self-Driving), its driving solution targeting full autonomy. Mpilot is purpose-built mass production ready highly automated driving software solution for private vehicles. Our core product includes Mpilot X, which provides a highly autonomous end-to-end driving experience with full driving scenario coverage and key functions including Mpilot Highway, Mpilot Urban and Mpilot Parking.

Selenium is our flagship product, a full-stack autonomy system, the product of over 500 person-years of effort. An on-vehicle suite of software which given a drive-by-wire interface and very modest compute hardware, brings full autonomy to a land-based vehicle. Selenium has the ability to transform any suitable vehicle platform into an autonomous vehicle, both at prototype volume and at scale. It is a collection of interoperable software modules that allow the vehicle to answer three key questions, where am I? What’s around me? What do I do next? Selenium spans the technological spectrum, from low-level device drivers, through calibration, 4-modal localization, mapping, perception, machine learning and planning, and its remarkable vertical integration even covers user interface and data export systems. It does not even need GPS or HD-Maps (although this can still be utilized, if available).

We are developing safe and reliable autonomous driving technology globally. Having accumulated millions of kilometers in autonomous road testing in complex scenarios, we have built a solid foundation to deliver autonomous driving systems at scale. Pony.ai was the first to launch Robotaxi service in December 2018, allowing passengers to hail self-driving cars via the PonyPilot+ App to start a new, safe and enjoyable journey. The service is currently available in Guangzhou, Beijing, Irvine, CA, and Fremont, CA. We have launched autonomous mobility pilots in multiple cities across the US and China, serving hundreds of riders every day. These pilots have enabled us to build a strong technical and operational foundation to further expand and improve our service. We have come together to tackle the biggest tech challenges in mobility. We are making concrete progress every day toward our vision of autonomous mobility everywhere.

Cognata delivers full product lifecycle simulation for ADAS and autonomous vehicle developers. Automatically-generated 3D environments and realistic AI-driven traffic agents for AV simulation. Autonomous vehicles ready-to-use scenario library and simple authoring to create millions of AV edge cases. Closed-loop testing with painless integration. Configurable rules and visualization for autonomous simulation. Measured and tracked performance. Digital twin grade 3D environments of roads, buildings, and infrastructure that are accurate down to the last lane marking, surface material, and traffic light. A global, cost-effective, and efficient architecture built for the cloud from the beginning. Closed-loop simulation or integration with your CI/CD environment are a few clicks away. Enables engineers to easily combine control, fusion, and vehicle models with Cognata’s environment, scenario, and sensor modeling capabilities.

​Analyzing your current automotive or robotic software systems to assess a path to commercialization. Transitioning your existing software to Apex.OS. Transitioning your existing environment to a state-of-the-art continuous integration, continuous testing, and continuous delivery framework. Providing software architecture reviews and recommendations. Providing functional safety training to enable your team to build your safe autonomous system. Apex.OS is a fork of ROS 2 that has been made real-time, reliable, and deterministic so that it can be used in safety-critical applications. Apex.OS is developed in sync with future releases of ROS 2 and APIs stay compatible to ROS 2. Based on the integration of Eclipse Cyclone DDS™ and Eclipse iceoryx™, both are available as open-source and proven in automotive and mission-critical distributed systems.

Created from industry-leading hardware and software, the Aurora Driver is designed to adapt to a variety of vehicle types and use cases, allowing us to deliver the benefits of self-driving across several industries, including long-haul trucking, local goods delivery, and people movement. The Aurora Driver consists of sensors that perceive the world, software that plans a safe path through it, and the computer that powers and integrates them both with the vehicle. The Aurora Driver was designed to operate any vehicle type, from a sedan to a Class 8 truck. The Aurora Computer is the central hub that connects our hardware and autonomy software and enables the Aurora Driver to seamlessly integrate with every vehicle type. Our custom-designed sensor suite—including FirstLight Lidar, long-range imaging radar, and high-resolution cameras—work together to build a 3D representation of the world, giving the Aurora Driver a 360˚ view of what’s happening around the vehicle in real time.

Impersonate is an autonomous control platform for indoor or outdoor robots in highly dynamic environments that fully encompass perception and planning into a single AI stack that’s generalized to any robotic setup.

We’re building Hivemind, our AI pilot, to enable swarms of drones and aircraft to operate autonomously without GPS, communications, or a pilot. Our mission is to protect service members and civilians with intelligent systems. More than just preset behaviors & waypoints. Like a human pilot, Hivemind reads and reacts to the battlefield, and does not require GPS, waypoints, or prior knowledge to make decisions. It is the first and only fully autonomous AI pilot deployed in combat since 2018. From indoor building clearance with quadcopters to integrated air defense breach with fixed-wing drones, and F-16 dogfights, Hivemind™ learns and autonomously executes missions. A new generation of aircraft flown by Hivemind to provide persistent aerial dominance across sea, air, and land, on the tactical edge.

We license AI software throughout the L2-L4 autonomous driving stack, perception, intent modeling, path planning, and vehicle control. Highest accuracy perception and intent prediction, leading to safer autonomous driving systems. Unsupervised learning and mathematical modeling, instead of supervised learning, allow learning from huge datasets. Our technologies are up to several orders of magnitude more capital-efficient, enabling much lower cost of development. Helm.ai full scene vision-based semantic segmentation fused with Lidar SLAM output from Ouster. L2+ autonomous driving with Helm.ai across highways 280 to 92 to 101, lane-keeping + ACC lane changes. Helm.ai pedestrian segmentation, with key-point prediction. Pedestrian segmentation and keypoint detection. Rain lane detection corner cases and Lidar-vision fusion. Full scene semantic segmentation, botts dots, and faded lane markings.

Connecting city infrastructures with digital assets, transforming traditional industries to create profit, social impact, and sustainability. We are a deep tech, AI driverless vehicle company developing our full-stack “lift and shift” driverless vehicle platform ConICAV™ for any vehicle type. We retrofit or custom-build driverless vehicles for industrial and commercial fleets, for a variety of different use cases. Utilizing AI and machine learning techniques, our ConICAV™ integrated solution improves asset management, customer experience, and operational efficiency. Conigital has secured a groundbreaking £500 million Series A+ funding offer from a global private equity firm with £150 billion under management.

From a variety of ADAS solutions to a self-driving system for autonomous public transport or goods delivery, all the way to consumer AVs. By developing everything from the silicon through to the self-driving system in-house, numerous efficiencies and synergies are unlocked, allowing us to reach AV at scale. From the beginning, Mobileye has developed hardware and software in-house, paving the way for highly efficient hardware, software, and algorithmic stacks at a superior cost-performance ratio. Everything Mobileye develops is safe by design, with a distinct strategy so that the technology can reach the mass market.

The future of the connected car experience: thin client application and cloud framework enabling consumer commerce, in-car media applications, mobile apps, and enterprise services. The Xevo Journeyware platform for cloud, car, and mobile devices enables multi-media applications, AI-driven contextual recommendations, and content delivery to give drivers and passengers an enhanced in-vehicle experience and provide automakers with new monetization opportunities. Components of Journeyware connected car platform are deployed in more than 25 million vehicles worldwide. Xevo Context recommendation engine utilizes Journeyware’s automotive AI technology to provide a dynamic, hyper-contextual user experience. This highly-relevant content is delivered as suggestions and offers based on drivers’ preferences, past behavior, time of day, vehicle location, current route, and more.

AI Building Blocks for Intelligent Cars. Carver21 is purpose built to scale to your perception needs whether enabling safety features or delivering autonomous driving functions.

The Qualcomm® Snapdragon Ride™ Platform is one of the automotive industry’s most advanced, scalable and fully customizable automated driving platforms. It will facilitate automotive suppliers and automakers flexibility to deploy the safety, convenience and autonomous driving features in demand today--with the ability to scale in the future. Reliable, extreme, auto-ready performance at low power with more simplicity and higher automotive safety. And unlike other autonomous driving solutions that require liquid cooling, the Snapdragon Ride Platform is passive or air-cooled. Our comprehensive customizable platform features multi-ECU aggregation, allowing it to easily scale from Active safety to Convenience to full Self-Driving across a wider range of vehicles. In addition to our high-performance, energy-efficient hardware, the new Snapdragon Ride Autonomous Stack combines with the hardware to provide one of the most robust vehicle perception and driving brains available.

Software is what turns a vehicle into an intelligent machine. The NVIDIA DRIVE™ Software stack is open, empowering developers to efficiently build and deploy a variety of state-of-the-art AV applications, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. The foundation of the DRIVE Software stack, DRIVE OS is the first safe operating system for accelerated computing. It includes NvMedia for sensor input processing, NVIDIA CUDA® libraries for efficient parallel computing implementations, NVIDIA TensorRT™ for real-time AI inference, and other developer tools and modules to access hardware engines. The NVIDIA DriveWorks® SDK provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plugins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework.

The SenseAuto intelligent automotive application platform enables our partners to capture new business opportunities and adopt cutting-edge AI technologies while riding the wave of intelligent automobiles. It comprises five parts - SenseAuto Cabin, SenseAuto Pilot, SenseAuto RoboX, SenseAuto Connect and SenseAuto Empower.

DriveMod is Cyngn’s full-stack autonomous driving solution. It integrates with off-the-shelf sensing and computing hardware to enable industrial vehicles to perceive the world, make decisions, and take action. DriveMod has been engineered to integrate smoothly into your existing workflows, enabling you to easily program vehicle routes, loops, and missions. In short, if a human driver can do it so can DriveMod. Safely bring autonomous capabilities to any commercially available vehicle through a retrofit. Drivemod’s flexibility ensures heterogeneous fleets operate smoothly regardless of vehicle type or manufacturer. Our AI software combines with leading sensors and computing hardware to create capabilities that far exceed that of human drivers. DriveMod can detect thousands of objects, propose thousands of candidate paths, and then navigate the optimal route — all in fractions of a second.

Driver and Fleet Safety Platform. The only AI technology impacting driver behavior in real-time. Anticipate events before they happen to help avoid incidents, minimize repair and maintenance costs, and reduce fleet claims. Minimize your injury, liability, and processing costs with AI-enabled, real-time detection and incident reporting. Driver Behavior Alerts coach your entire fleet in real-time. For drivers that need additional fleet safety training, Nauto Manager-Led Coaching helps you prioritize drivers and guides you through the coaching process. Reduce operational and insurance costs associated with fleet collisions by preventing distracted and drowsy driving. Drive adoption with features designed to help protect driver privacy and provide transparency between managers and fleet drivers.