Teleoperated driving

Team: 10 people;
Start: November 2016;
Duration: ongoing;
Technologies: C++, ROS, D-Space, Matlab-Simulink, ADTF;

Curiosity: Internal product-oriented R&D project that aims to explore current business areas for .objective. Close collaboration with universities in Europe has been initiated for this purpose.

The development of fully autonomous cars is well on the way, but it will be at least 10 years before commercial autonomous cars run on public roads, so a solution is required for the transition phase. One useful approach is teleoperated driving: this offers the opportunity to involve human beings with their knowledge, experience and creativity whenever required. Objective is now working on a solution that can be installed both in series production and on an after-market basis. It is composed of two main components: the on-board platform and the remote control station. The onboard platform interacts with the vehicle collecting sensor data and inputting commands from the remote driver. It has read and write access to the CAN-BUS and it acts as a central gateway, securing interaction between the vehicle internal networks and the remote station while also protecting the system from external intrusions. The onboard system is also able to locally process sensor data to reconstruct the model of the surrounding environment in order to deliver only the information needed to the control station, thus avoiding communication overload. The control station includes a processing unit that receives data sent from the on-board platform and predicts the behaviour of the vehicle and its neighbours in the next few moments. It also includes an HMI for the interaction of the remote driver with the system. Connection to the vehicle is obtained via cellular communication by means of a server that could physically reside at the remote station or somewhere else, depending on the use case.

Read more here:
- Teleoperated Driving: A paradigm shift in automotive
- Teleoperated Driving secured by Trend Micro: .objective Software presents products in exclusive event
- Vodafone Innovation Days honor .objective Software with Well-Done-Award
- New teleoperated vehicle presented by .objective Software

Parking Monitor

First Launch: May 2016
Tech Expert: A. Dratva - alexander.dratva@objective.de

Problems solved: according to several studies, in some scenarios the disruption of the traffic flow produced by vehicles looking for a parking reaches 30% of the total. To clear this hurdle, connected vehicles are just a part of the solution. Our Parking Scanner uses a consolidated technology in automotive and transfers it into infrastructure monitoring, defining in this way a new paradigm in terms of accuracy, reliability, operational costs.

Our Parking Scanner makes use of LiDAR technology to create a detailed map of the parking area, defined as a point cloud covering more than 2.500 square metres. Then, our algorithms are able to extract information concerning available parking spots, continuously updating the parking pattern and making forecasts concerning the availability of parking places over time.

The benefits of this technology are related to the total operational costs of the system, which can cover hundreds of parking spaces with a single sensing system, to the accuracy in the detection characterised by the absence of drift (typical of multi-point controlling systems) and by the possibility to integrated our Park finder app, giving real-time forecasts and route guidance based on current parking patterns.



Would you like to find your parking space faster? Just drop us a line! We're happy to help.

NEW .OBJECTIVE PRECISE POSITIONING TECHNOLOGY: TEST PASSED!

Precise positioning is a key technology of the autonomous driving ecosystem. The HIGHTS project is about improving the accuracy of vehicle geolocation by means of a resilient and flexible Geolocation engine able to guarantee a superior level of confidence in all working conditions. The Geolocation Engine is based on diverse technologies such as GNSS, vehicle data analytics, ranging, cooperative positioning and local dynamic maps.
 
The tests, held at the .objective headquarters in Munich, involved the .objective R&D vehicle and a second one equipped with the HIGHTS positioning technology. The vehicles estimate the trajectory via on-board sensors, match the detected environmental features with those reported in the HD Maps, exchange CAM messages via C2X and ultimately report position, accuracy parameters and many other information used by the positioning engine. After this successful test session, .objective will finalize the vehicle platform by tuning antennas and calibrating on-board sensors, in order to meet the hi-precision requirements.
 
Looking forward to the test drive in Helmond, at the TASS international testing facility!

Car Access Gateway

First Launch: September 2016
Tech Expert: W. Münst - wolfgang.muenst@objective.de

Problems solved:In the automotive domain it is sometimes difficult to prototype new solutions, due to many constraints related to safety, security, management of IP rights and, somatimes, the distance between scientific and applied research. Our Car Access Gateway provides an answer to the needs of the R&D community involved with design, development and testing of in-vehicle software and hardware components.

The car access gateway provides plug-and-play communication and access to or information about manufacturer-specific codes, extensive, customizable access to live and recorded data and offer advanced troubleshooting information. Connection to back-end systems may be realised either via Bluetooth, Wi-Fi, or USB.
We decided to put all our expertise in a product able to address several categories of customers, and several kinds of budget. Basic features are available just by using the standard SAE J1962 connector, while more advance applications, including those enabling connected driving use cases, are available with the most advanced versions.

Want to give a change to your habits in embedded development? Contact us!

Vehicle Security Module

First Launch: March 2017
Tech Expert: W. Münst - wolfgang.muenst@objective.de

Problems solved: Mainstream videos show hackers remotely hijacking cars and endangering occupants. Anticipating market trends and addressing the needs of our premium customers, .objective has launched a new program for the development of cyber-security solutions for autonomous and connected vehicles in spring 2017.

Our Vehicle Cyber Security Module guarantees security for new generations of cars and trucks, protecting communication, sensors, actuators, micro-controllers and ultimately the people inside. Our first achievement was the implementation of a Hardware Security Module, providing fundamental cyber security features such as car access management, cryptography and authentication.

Would you like to find out more? If so, simply go to the contact page!

Smart Road Scanner

First Launch: October 2015
Tech Expert: A. Dratva - alexander.dratva@objective.de

Problems solved: autonomous vehicles and the next generation of ADAS will require a huge amount of map data to ensure safe, smooth and comfortable journeys. Collecting this information and keeping the dataset up-to-date may have enormous costs, which are now one of the main hurdles to be cleared for the massive introduction of autonomous driving features. Our Smart Road Scanner makes this task cheap, fast, and reliable.

Autonomous driving requires an enormous set of tools and technologies to be realised. A lot has been done, but there is still a long way to go. The availability of update HD maps is without doubt one of the key enablers here. At .objective we have developed a technology for quick reconstruction of 3D HD maps using the information from a single high-precision laser scanner mounted on the rooftop of our research vehicle. All this is done while driving at speeds of up to 70 km/h, which makes the operation fast and convenient.

.objective works on autonomous driving map reconstruction based on high-precision laser scanners, Global Positioning System and Inertial Navigation Systems and our efficient SLAM+ algorithm. In combination these tools allow the positioning and orientation of the footprint of a laser beam as it hits an object, to a high degree of accuracy. MAP3 not only generates 3D maps but also recognises and classifies objects to populate digital maps, supporting road automation at all levels.

Would you like to find out more? If so, simply go to the contact page!

.objective launches its Automotive Security program

Mainstream videos show hackers remotely hijacking cars and endangering occupants. Anticipating market trends and addressing the needs of our premium customers, .objective has launched a new program for the development of cyber-security solutions for autonomous and connected vehicles in spring 2017.

We develop products and services that guarantee security for new generations of cars and trucks, protecting communication, sensors, actuators, micro-controllers and ultimately the people inside. Our first achievement was the implementation of a Hardware Security Module, providing fundamental cyber security features such as car access management, cryptography and authentication.

.OBJECTIVE SOFTWARE MEETS ITALIAN UNIVERSITY

Within the demo trip of our R&D car in Italy, we stopped in some of the most important technical universities of the north-west area. On the 21st of March the R&D car and a selection of our developers visited the University of Genoa, where students could work with the connection components and interfacing the “social gaming” app developed for the TEAM project, where .objective and the University of Genoa had been working together for more than 4 years. On the 22nd it was the turn of the Polytechnic University of Milan, which is currently cooperating with .objective by means of several Master Degree Thesis projects. The trip of our R&D car is not yet complete – stay tuned for the next stops!