73 datasets found

The dataset used in the paper is a large-scale point cloud compression framework, which can organize sparse and un-structured point clouds in a memory-efficient way.

The dataset used in this paper is a collection of data for path planning of autonomous vehicles under mission uncertainty using model predictive control (MPC).

A synthetic dataset generated from BDD100K datasets using RainSD module and TSIT.

The dataset used in the experiments is the vehicle’s driving environment.

A self-driving vehicle (SDV) must be able to perceive its surroundings and predict the future behavior of other traf-fic participants.

A self-driving vehicle (SDV) must be able to perceive its surroundings and predict the future behavior of other traf-fic participants.

A dataset for semantic segmentation of autonomous vehicles in real-world scenarios.

The highD dataset is a real-world high-definition video dataset of naturalistic vehicle trajectories on German highways.

The Talk2Car dataset is a benchmark for language grounding for autonomous vehicles. It contains images of urban scenes and natural language commands referring to objects in the...

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.