64 datasets found

The dataset used in the paper is a collection of autonomous vehicle scenarios, where each scenario is represented as a 3x3 grid encoding. The scenarios are encoded using Pauli-X...

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles

The dataset used for testing the OctoPath network in the real-world navigation environment.

The dataset used for testing the OctoPath network in the GridSim simulator.

The dataset used for testing the OctoPath network, containing sequences of octrees and points from the reference path.

The dataset used for training the OctoPath network, containing sequences of octrees and points from the reference path.

KITTI tracking dataset provides 21 training and 29 test sequences. The dataset provides 2D bounding box annotations for cars, pedestrians, and 6 other classes, but only the...

The proposed controller structure for the driving dynamics of the autonomous e-scooter.

The proposed collision avoidance safety filter for an autonomous e-scooter using low-cost ultrasonic sensors.

The dataset used in this paper is a set of vehicle models and obstacle avoidance formulations.

A new large ‘water on road’ dataset spanning approximately 2 km of driving in various on-road and off-road conditions.

A survey of simulators for small-scale autonomous cars

A survey of small-scale car platforms, categorizing them and detailing the research advancements accomplished through their usage

The dataset used for road slope estimation and vehicle dynamics control.

The dataset used in the paper is a set of logical scenarios for testing autonomous vehicles, including 5 different scenarios with various parameters such as weather, lighting,...

The dataset used in the paper is the Lyft Motion Prediction Dataset, which contains samples of real-world driving on a complex, urban route in Palo Alto, California.

The proposed autonomous braking system learns an intelligent way of brake control from the experiences obtained under the simulated environment.

TUM-MLS-2016: An annotated mobile lidar dataset of the TUM City Campus for semantic point cloud interpretation in urban areas.

Developing and testing robust autonomy: The university of sydney campus data set.

KITTI and Ford Multi-AV Seasonal datasets are used for training and evaluation of the proposed method.