End-to-end driving systems have made rapid progress, but have so far not been applied to the challenging new CARLA Leaderboard 2.0. Further, while there is a large body of literature on end-to-end architectures and training strategies, the impact of the training dataset is often overlooked. ...
additionally provide pre-trained model weights for TransFuser++ which is the best open-source model at the time of publication. The paperHidden Biases of End-to-End Driving Modelsdescribes the method and theLB2 Technical Reportdiscusses the changes we made to adapt TransFuser++ to the CARLA ...
KAPLAN K;KURTUL C;AKIN H L.Fast lane trackingfor autonomous urban driving using hidden Markov modelsand multiresolution Hough transform.Industrial Robot.2010.273-278KAPLAN K,KURTUL C,AKIN H L. Fast lane trackingfor autonomous urban driving using hidden Markov modelsand multiresolution Hough ...
detail. This device even includes a USB male-to-male cable that lets you connect the device to your computer to view the video recordings without having to remove the SD card. In the end, this device in the shape of a USB wall charger is a perfectly functional hidden home security ...
Biomarkers are indispensable for precision medicine. However, focused single-biomarker development using human tissue has been complicated by sample spatial heterogeneity. To address this challenge, we tested a representation of primary tumor that synerg
Although tools that can correct survey datasets for these biases have been developed recently18,19, this is an area of active research. In this paper, we argue that a new machine learning technique, the Fuzzy Forests, is a helpful tool that can be used to screen for certain types of ...
2. While there is overwhelming evidence that the SM is incomplete, guidance is required to resolve the issue as to how the SM will conclusively breakdown in laboratory con- ditions. Hundreds of BSM models have been proposed over the years, motivated by the big open questions as well as by...
Another mechanism iscreate suppression—which biases the system to building on higher-level rules over lower-level ones by removing lower-level groups from the process of creating new combinations of existing rules. In general, the suppression mechanisms are an important element in how the connectioni...
The method involves a number of steps to reduce the impact of these biases. For evaluation purposes, a case study is used to estimate route travel times from taxi FCD in Stockholm, Sweden. Estimates are compared to observed travel times for routes equipped with Automatic Number Plate Recognition...
The architecture’s inherent parallelizability and its capacity to prioritize data-driven learning over inductive biases make it especially apt for large-scale pre-training, thus allowing Transformer-based models to excel in a multitude of downstream tasks [44]. The advent of the Transformer ...