A novel approach for intelligent pre-crash threat assessment systems

Bohmlander, Dennis; Yano, Vitor; Brandmeier, Thomas; Zimmer, Alessandro; Ling, Lee Luan; Wong, Cuebong; Dirndorfer, Tobias

doi:10.1109/itsc.2014.6957812

Cited by 7 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reasoning layer includes sensor fusion, classification and target tracking based on the low level context. Necessary sensor data association, object recognition and classification algorithms will not be discussed at this point and it is refereed to our previous work (Böhmländer et al, 2014). The reasoning layer uses then high level context to characterize the pre-crash situation: if a collision is regarded as unavoidable the decision is made by applying a Crash Severity Data Model (CSDM).…”

Section: Methodology and System Design For Pre-crash Triggeringmentioning

confidence: 99%

See 1 more Smart Citation

Context-aware system for pre-triggering irreversible vehicle safety actuators

Bohmlander

Dirndorfer

Al-Bayatti

et al. 2017

Accident Analysis & Prevention

Self Cite

View full text Add to dashboard Cite

Section: Methodology and System Design For Pre-crash Triggeringmentioning

confidence: 99%

“…These are for example the width w O and length l O . In the proposed system layer, the object type will be classified by analyzing video frames in real-time (Böhmländer et al, 2014). An extended Kalman filter (EKF) is used to predict the state vectors based on measurements observed over time.…”

Section: Target Tracking and Sensor Fusionmentioning

confidence: 99%

Context-aware system for pre-triggering irreversible vehicle safety actuators

Bohmlander

Dirndorfer

Al-Bayatti

et al. 2017

Accident Analysis & Prevention

Self Cite

View full text Add to dashboard Cite

“…A research group from RWTH Aachen University, Germany, proposed a hardware implementation of a platoon of four 1 : 14 scaled trucks to test the cooperative platoon control algorithm [20]. As considering critical safety factors, HIL simulation system is also used to precrash threat assessment [21].…”

Section: Introductionmentioning

confidence: 99%

PaTAVTT: A Hardware-in-the-Loop Scaled Platform for Testing Autonomous Vehicle Trajectory Tracking

Wang

Zhang³

et al. 2017

Journal of Advanced Transportation

View full text Add to dashboard Cite

With the advent of autonomous vehicles, in particular its adaptability to harsh conditions, the research and development of autonomous vehicles attract significant attention by not only academia but also practitioners. Due to the high risk, high cost, and difficulty to test autonomous vehicles under harsh conditions, the hardware-in-the-loop (HIL) scaled platform has been proposed as it is a safe, inexpensive, and effective test method. This platform system consists of scaled autonomous vehicle, scaled roadway, monitoring center, transmission device, positioning device, and computers. This paper uses a case of the development process of tracking control for high-speed U-turn to build the tracking control function. Further, a simplified vehicle dynamics model and a trajectory tracking algorithm have been considered to build the simulation test. The experiment results demonstrate the effectiveness of the HIL scaled platform.

show abstract