Runtime Safety Assurance of Autonomous Vehicles used for Last-mile
Delivery in Urban Environments
- URL: http://arxiv.org/abs/2307.04454v1
- Date: Mon, 10 Jul 2023 10:06:55 GMT
- Title: Runtime Safety Assurance of Autonomous Vehicles used for Last-mile
Delivery in Urban Environments
- Authors: Iqra Aslam, Adina Aniculaesei, Abhishek Buragohain, Daniel Bamal,
Prof. Dr. Andreas Rausch
- Abstract summary: The project LogiSmile aims to find a possible solution to the challenges of urban goods distribution in congested areas.
The Autonomous Hub Vehicle (AHV) works in cooperation with a small robot called the Autonomous Delivery Device (ADD)
The runtime monitoring concept developed for the AHV has been demonstrated in 2022 in Hamburg.
- Score: 0.10499611180329801
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Last-mile delivery of goods has gained a lot of attraction during the
COVID-19 pandemic. However, current package delivery processes often lead to
parking in the second lane, which in turn has negative effects on the urban
environment in which the deliveries take place, i.e., traffic congestion and
safety issues for other road users. To tackle these challenges, an effective
autonomous delivery system is required that guarantees efficient, flexible and
safe delivery of goods. The project LogiSmile, co-funded by EIT Urban Mobility,
pilots an autonomous delivery vehicle dubbed the Autonomous Hub Vehicle (AHV)
that works in cooperation with a small autonomous robot called the Autonomous
Delivery Device (ADD). With the two cooperating robots, the project LogiSmile
aims to find a possible solution to the challenges of urban goods distribution
in congested areas and to demonstrate the future of urban mobility. As a member
of Nieders\"achsische Forschungszentrum f\"ur Fahrzeugtechnik (NFF), the
Institute for Software and Systems Engineering (ISSE) developed an integrated
software safety architecture for runtime monitoring of the AHV, with (1) a
dependability cage (DC) used for the on-board monitoring of the AHV, and (2) a
remote command control center (CCC) which enables the remote off-board
supervision of a fleet of AHVs. The DC supervises the vehicle continuously and
in case of any safety violation, it switches the nominal driving mode to
degraded driving mode or fail-safe mode. Additionally, the CCC also manages the
communication of the AHV with the ADD and provides fail-operational solutions
for the AHV when it cannot handle complex situations autonomously. The runtime
monitoring concept developed for the AHV has been demonstrated in 2022 in
Hamburg. We report on the obtained results and on the lessons learned.
Related papers
- Comprehensive Autonomous Vehicle Optimal Routing With Dynamic Heuristics [0.0]
The proposed model to improve AV user experience, uses a hybrid AV Network of multiple connected autonomous vehicles.
The true optimal solution for this problem is to devise an automated guidance system for vehicles in an AV network.
The results are analysed and compared to evaluate the effectiveness of the solution and identify gaps and future enhancements.
arXiv Detail & Related papers (2024-03-17T18:21:56Z) - Token-based Vehicular Security System (TVSS): Scalable, Secure, Low-latency Public Key Infrastructure for Connected Vehicles [1.062554955743753]
We present TVSS, a new VPKI system which improves drastically over prior work in the area.
TVSS leverages the idea of unforgeable tokens to enable rapid verification at the road side units (RSUs), which are part of the road infrastructure at the edge of the network.
Notably, we are able to execute the bottleneck operation of our scheme with a stationary RSU while traveling at highway speeds.
arXiv Detail & Related papers (2024-02-28T14:35:52Z) - Classification of Safety Driver Attention During Autonomous Vehicle
Operation [11.33083039877258]
This paper introduces a dual-source approach integrating data from an infrared camera facing the vehicle operator and vehicle perception systems.
The proposed system effectively determines a metric for the attention levels of the vehicle operator, enabling interventions such as warnings or reducing autonomous functionality as appropriate.
arXiv Detail & Related papers (2023-10-17T22:04:42Z) - MSight: An Edge-Cloud Infrastructure-based Perception System for
Connected Automated Vehicles [58.461077944514564]
This paper presents MSight, a cutting-edge roadside perception system specifically designed for automated vehicles.
MSight offers real-time vehicle detection, localization, tracking, and short-term trajectory prediction.
Evaluations underscore the system's capability to uphold lane-level accuracy with minimal latency.
arXiv Detail & Related papers (2023-10-08T21:32:30Z) - Connected Dependability Cage Approach for Safe Automated Driving [2.369782235753731]
This paper presents a safety concept for automated driving systems.
It uses a combination of onboard runtime monitoring via connected dependability cage and off-board runtime monitoring via a remote command control center.
We evaluate our safety concept for automated driving systems in a lab environment and on a test field track and report on results and lessons learned.
arXiv Detail & Related papers (2023-07-12T15:55:48Z) - Convergence of Communications, Control, and Machine Learning for Secure
and Autonomous Vehicle Navigation [78.60496411542549]
Connected and autonomous vehicles (CAVs) can reduce human errors in traffic accidents, increase road efficiency, and execute various tasks. Reaping these benefits requires CAVs to autonomously navigate to target destinations.
This article proposes solutions using the convergence of communication theory, control theory, and machine learning to enable effective and secure CAV navigation.
arXiv Detail & Related papers (2023-07-05T21:38:36Z) - Learning energy-efficient driving behaviors by imitating experts [75.12960180185105]
This paper examines the role of imitation learning in bridging the gap between control strategies and realistic limitations in communication and sensing.
We show that imitation learning can succeed in deriving policies that, if adopted by 5% of vehicles, may boost the energy-efficiency of networks with varying traffic conditions by 15% using only local observations.
arXiv Detail & Related papers (2022-06-28T17:08:31Z) - Differentiable Control Barrier Functions for Vision-based End-to-End
Autonomous Driving [100.57791628642624]
We introduce a safety guaranteed learning framework for vision-based end-to-end autonomous driving.
We design a learning system equipped with differentiable control barrier functions (dCBFs) that is trained end-to-end by gradient descent.
arXiv Detail & Related papers (2022-03-04T16:14:33Z) - A Multi-UAV System for Exploration and Target Finding in Cluttered and
GPS-Denied Environments [68.31522961125589]
We propose a framework for a team of UAVs to cooperatively explore and find a target in complex GPS-denied environments with obstacles.
The team of UAVs autonomously navigates, explores, detects, and finds the target in a cluttered environment with a known map.
Results indicate that the proposed multi-UAV system has improvements in terms of time-cost, the proportion of search area surveyed, as well as successful rates for search and rescue missions.
arXiv Detail & Related papers (2021-07-19T12:54:04Z) - A Software Architecture for Autonomous Vehicles: Team LRM-B Entry in the
First CARLA Autonomous Driving Challenge [49.976633450740145]
This paper presents the architecture design for the navigation of an autonomous vehicle in a simulated urban environment.
Our architecture was made towards meeting the requirements of CARLA Autonomous Driving Challenge.
arXiv Detail & Related papers (2020-10-23T18:07:48Z) - A Survey and Insights on Deployments of the Connected and Autonomous
Vehicles in US [0.0]
CV/ITS (Connected Vehicle, Intelligent Transportation System) and AV/ADS (Autonomous Vehicle, Automated Driving System) have been emerging for the sake of saving people lives, improving traffic efficiency and helping the environment for decades.
There are separate efforts led respectively by USDOT with state DOTs for CV, and private sectors through market driven approach from start-ups and technology companies for AV.
By CV/ITS effort there are 97 deployments of V2X communications utilizing the 5.9 GHz band, 18,877 vehicles with aftermarket V2X communications devices, and 8,098 infrastructure V2X devices installed at the roadsides
arXiv Detail & Related papers (2020-08-10T19:35:51Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.