Environment-Detection-and-Mapping Algorithm for Autonomous Driving in Rural or Off-Road Environment

Abstract-The presence of autonomous vehicles on public roads is becoming a reality. In the last 10 years, autonomous prototypes have been confined in controlled or isolated environments, but new traffic regulations for testing and direct automotive companies interests are moving autonomous vehicles tests on real roads. This paper presents a test on public urban roads and freeways that was held in Parma on July 12, 2013. This was the first test in open public urban roads with nobody behind the steering wheel: the vehicle had to cope with roundabouts, junctions, pedestrian crossings, freeway junctions, traffic lights, and regular traffic. The vehicle setup, the software architecture, and the route are here presented together with some results and possible future improvements.

show abstract

“…Other challenges [7], [8], [9] were based on the assumption of dynamic obstacles moving with safe and predictable attitude.…”

Section: Our Approachmentioning

confidence: 99%

PROUD-Public road urban driverless test: Architecture and results

Broggi

Cerri

Debattisti

et al. 2014

2014 IEEE Intelligent Vehicles Symposium Proceedings

Self Cite

View full text Add to dashboard Cite

show abstract

“…Global automakers and information technology companies, such as General Motors, Volkswagen, Toyota, and Google, expect to have ADVs on the market in 2020 and for 25% of the vehicles on the road to be ADVs by 2035 [4]. Nevertheless, several challenges still need to be fully addressed for autonomous driving [5,6], such as:…”

Section: Introductionmentioning

confidence: 99%

Software-Defined Approach for Communication in Autonomous Transportation Systems

Dhawankar¹,

Raza²,

Minh³

et al. 2017

EAI Endorsed Transactions on Energy Web

View full text Add to dashboard Cite

Autonomous driving technology offers a promising solution to reduce road accidents, traffic congestion and fuel consumption. The management of vehicular networks is challenging as it demands mobility, location awareness, high reliability and low latency of data traffic. In this paper, we propose a novel communication architecture for vehicular network with 5G Mobile Networks and SDN technologies to support multiple core networks for autonomous vehicles and to tackle the potential challenges raised by autonomous driving vehicles. Data requirements are evaluated for vehicular networks with respect to number of lanes and cluster size, to efficiently use frequency and bandwidth. Network latency requirements are analysed, which are mandatory constraints for all applications where real time end-to-end communication is necessary. A test environment is also formulated to evaluate improvement in vehicular network using SDN-based approach over traditional core networks.

show abstract

“…In [1][2][3][4][5], various lane detection algorithms and path-planning algorithms are proposed for vehicles to realize the autonomous driving. The driving behavior of vehicles driving on the road, however, is always affected by other vehicles.…”

Section: Introductionmentioning

confidence: 99%

“…The driving behavior of vehicles driving on the road, however, is always affected by other vehicles. The autonomous driving in [1][2][3][4][5], however, is standalone. The driving decision information of other vehicles is not considered.…”

Section: Introductionmentioning

confidence: 99%

Common Driving Notification Protocol Based on Classified Driving Behavior for Cooperation Intelligent Autonomous Vehicle Using Vehicular Ad-Hoc Network Technology

Lin

Dong

Hirota

2015

Journal of Artificial Intelligence and Soft Computing Research

View full text Add to dashboard Cite

A protocol, called common driving notification protocol (CDNP), is proposed based on the classified driving behavior for intelligent autonomous vehicles, and it defines a standard with common messages and format for vehicles. The common standard format and definitions of CDNP packet make the autonomous vehicles have a common language to exchange more detail driving decision information of various driving situations, decrease the identification time for one vehicle to identify the driving decisions of other vehicles before or after those driving decisions are performed. The simulation tools, including NS-3 and SUMO, are used to simulate the wireless data packet transmission and the vehicle mobility; the experiment results present that the proposed protocol, CDNP, can increase the reaction preparing time with maximum value 250 seconds, decrease the identification time and the average travel time. Prospectively, it is decided to implement the CDNP as a protocol stack in the Linux kernel to provide the basic protocol capability for real world transmission testing.

show abstract

Environment-Detection-and-Mapping Algorithm for Autonomous Driving in Rural or Off-Road Environment

Cited by 77 publications

References 22 publications

PROUD-Public road urban driverless test: Architecture and results

PROUD-Public road urban driverless test: Architecture and results

Software-Defined Approach for Communication in Autonomous Transportation Systems

Common Driving Notification Protocol Based on Classified Driving Behavior for Cooperation Intelligent Autonomous Vehicle Using Vehicular Ad-Hoc Network Technology

Contact Info

Product

Resources

About