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Autonomous Vehicle Dataset
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
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles -
Real-world navigation dataset
The dataset used for testing the OctoPath network in the real-world navigation environment. -
GridSim dataset
The dataset used for testing the OctoPath network in the GridSim simulator. -
OctoPath test dataset
The dataset used for testing the OctoPath network, containing sequences of octrees and points from the reference path. -
OctoPath dataset
The dataset used for training the OctoPath network, containing sequences of octrees and points from the reference path. -
KITTI tracking dataset
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... -
Controller Structure for Autonomous E-Scooter
The proposed controller structure for the driving dynamics of the autonomous e-scooter. -
Collision Avoidance Safety Filter for an Autonomous E-Scooter using Ultrasoni...
The proposed collision avoidance safety filter for an autonomous e-scooter using low-cost ultrasonic sensors. -
Vehicle Models and Obstacle Avoidance Formulations
The dataset used in this paper is a set of vehicle models and obstacle avoidance formulations. -
Water on Road Dataset
A new large ‘water on road’ dataset spanning approximately 2 km of driving in various on-road and off-road conditions. -
Simulators for Small-Scale Autonomous Cars
A survey of simulators for small-scale autonomous cars -
Small-Scale Car Platforms for Autonomous Driving
A survey of small-scale car platforms, categorizing them and detailing the research advancements accomplished through their usage -
Road Slope Estimation and Vehicle Dynamics Control
The dataset used for road slope estimation and vehicle dynamics control. -
Lyft Motion Prediction Dataset
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. -
Autonomous Braking System via Deep Reinforcement Learning
The proposed autonomous braking system learns an intelligent way of brake control from the experiences obtained under the simulated environment. -
TUM City Campus Dataset
TUM-MLS-2016: An annotated mobile lidar dataset of the TUM City Campus for semantic point cloud interpretation in urban areas. -
University of Sydney Campus Dataset
Developing and testing robust autonomy: The university of sydney campus data set. -
KITTI and Ford Multi-AV Seasonal datasets
KITTI and Ford Multi-AV Seasonal datasets are used for training and evaluation of the proposed method.
