Results 21 to 30 of about 1,070,284 (327)
A Review of the Impact of Rain on Camera-Based Perception in Automated Driving Systems
IEEE Access, 2023 Automated vehicles rely heavily on image data from visible spectrum cameras to perform a wide range of tasks from object detection, classification, and avoidance to path planning.
Tim Brophy +9 more
semanticscholar +1 more source
An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios [PDF]
International Conference on Vehicle Technology and Intelligent Transport Systems, 2022 Verification and validation are major challenges for developing automated driving systems. A concept that gets more and more recognized for testing in automated driving is scenario-based testing.
Barbara Schütt +4 more
semanticscholar +1 more source
Testing Predictive Automated Driving Systems: Lessons Learned and Future Recommendations [PDF]
IEEE Intelligent Transportation Systems Magazine, 2022 Conventional vehicles are certified through classical approaches, where different physical certification tests are set up on test tracks to assess the required safety levels.
Ruben Izquierdo Gonzalo +5 more
semanticscholar +1 more source
Testing Automated Driving Systems by Breaking Many Laws Efficiently
International Symposium on Software Testing and Analysis, 2023 An automated driving system (ADS), as the brain of an autonomous vehicle (AV), should be tested thoroughly ahead of deployment. ADS must satisfy a complex set of rules to ensure road safety, e.g., the existing traffic laws and possibly future laws that ...
Xiaodong Zhang +6 more
semanticscholar +1 more source
Automated Driving Systems Data Acquisition and Processing Platform [PDF]
arXiv.org, 2022 This paper presents an automated driving system (ADS) data acquisition and processing platform for vehicle trajectory extraction, reconstruction, and evaluation based on connected automated vehicle (CAV) cooperative perception.
Xin Xia +7 more
semanticscholar +1 more source
Virtual Testing of Automated Driving Systems. A Survey on Validation Methods
IEEE Access, 2022 This paper surveys the state-of-the-art contributions supporting the validation of virtual testing toolchains for Automated Driving System (ADS) verification.
R. Donà, B. Ciuffo
semanticscholar +1 more source
World Electric Vehicle Journal, 2021 Conclusive evidence has demonstrated the critical importance of highly automated driving systems and regenerative braking systems in improving driving safety and economy.
Liang Chu +3 more
doaj +1 more source
Towards Guaranteed Safety Assurance of Automated Driving Systems With Scenario Sampling: An Invariant Set Perspective [PDF]
IEEE Transactions on Intelligent Vehicles, 2021 How many scenarios are sufficient to validate the safe Operational Design Domain (ODD) of an Automated Driving System (ADS) equipped vehicle? Is a more significant number of sampled scenarios guaranteeing a more accurate safety assessment of the ADS ...
Bowen Weng +3 more
semanticscholar +1 more source
Transportation Research Part C: Emerging Technologies, 2021 Automated driving systems (ADSs) allow vehicles to engage in self-driving under specific conditions. Along with the potential safety benefits, the increase in productivity through non-driving-related tasks (NDRTs) is often cited as a motivation behind ...
Hebert Azevedo-Sa +5 more
semanticscholar +1 more source
TESTING OF AUTOMATED DRIVING SYSTEMS
MECCA Journal of Middle European Construction and Design of Cars, 2020 The automated driving requires new testing approaches, which are more complex than the current testing systems. The complexity and requirements for accuracy is important, because of interconnection of virtual with physical testing. This paper presents a generic approach to testing of automated driving functions and demonstrates its implementation on ...
Ondřej Vaculín +3 more
openaire +1 more source