Unlocking Autonomous Mobility

Every day, humans make hundreds of decisions, most of which are based on information we gather from our surroundings. The majority of this perception when it comes to driving is visual. Autonomous vehicles that are capable of recognizing items ...

This work addresses the problem of predicting the intentions of drivers in a highway on-ramp situation using a dynamic Bayesian network. We present the proposed model and detail its use. Then, we report the simulation results that show good performances ...

Security is of primary importance to vehicles. The viability of performing remote intrusions to the in-vehicle network has been manifested. For unmanned autonomous cars, limited work has been done to detect such intrusions, while existing ...