Browse > Computer Vision > Autonomous Vehicles > Autonomous Driving

Autonomous Driving

132 papers with code · Computer Vision
Subtask of Autonomous Vehicles

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

State-of-the-art leaderboards

You can find evaluation results in the subtasks. You can also submitting evaluation metrics for this task.

Latest papers with code

Attacking Vision-based Perception in End-to-End Autonomous Driving Models

2 Oct 2019xz-group/AdverseDrive

One such example is autonomous driving, which often relies on deep learning for perception.

AUTONOMOUS DRIVING

10
02 Oct 2019

Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments

23 Sep 2019HanjiangHu/DIFL-FCL

To retrieve a target image from the database, the query image is first encoded using the encoder belonging to the query domain to obtain a domain-invariant feature vector.

AUTONOMOUS DRIVING VISUAL LOCALIZATION

7
23 Sep 2019

SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving

18 Sep 2019aksoyeren/salsanet.git

SalsaNet segments the road, i. e. drivable free-space, and vehicles in the scene by employing the Bird-Eye-View (BEV) image projection of the point cloud.

3D SEMANTIC SEGMENTATION AUTONOMOUS DRIVING SEMANTIC SEGMENTATION

0
18 Sep 2019

A*3D Dataset: Towards Autonomous Driving in Challenging Environments

17 Sep 2019I2RDL2/ASTAR-3D

With the increasing global popularity of self-driving cars, there is an immediate need for challenging real-world datasets for benchmarking and training various computer vision tasks such as 3D object detection.

3D OBJECT DETECTION AUTONOMOUS DRIVING BENCHMARKING SELF-DRIVING CARS

34
17 Sep 2019

Walling up Backdoors in Intrusion Detection Systems

17 Sep 2019CN-TU/ids-backdoor

Interest in poisoning attacks and backdoors recently resurfaced for Deep Learning (DL) applications.

AUTONOMOUS DRIVING INTRUSION DETECTION

1
17 Sep 2019

Brno Urban Dataset -- The New Data for Self-Driving Agents and Mapping Tasks

15 Sep 2019RoboticsBUT/Brno-Urban-Dataset

Autonomous driving is a dynamically growing field of research, where quality and amount of experimental data is critical.

AUTONOMOUS DRIVING

26
15 Sep 2019

Robust Multi-Modality Multi-Object Tracking

9 Sep 2019ZwwWayne/mmMOT

Multi-sensor perception is crucial to ensure the reliability and accuracy in autonomous driving system, while multi-object tracking (MOT) improves that by tracing sequential movement of dynamic objects.

AUTONOMOUS DRIVING MULTI-OBJECT TRACKING

53
09 Sep 2019

Occ-Traj120: Occupancy Maps with Associated Trajectories

5 Sep 2019soraxas/Occ-Traj120

Trajectory modelling had been the principal research area for understanding and anticipating human behaviour.

AUTONOMOUS DRIVING

1
05 Sep 2019

Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

26 Aug 2019poodarchu/Class-balanced-Grouping-and-Sampling-for-Point-Cloud-3D-Object-Detection

This report presents our method which wins the nuScenes3D Detection Challenge [17] held in Workshop on Autonomous Driving(WAD, CVPR 2019).

3D OBJECT DETECTION AUTONOMOUS DRIVING

61
26 Aug 2019

Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization

18 Aug 2019maunzzz/fine-grained-segmentation-networks

In this paper, we propose a new neural network, the Fine-Grained Segmentation Network (FGSN), that can be used to provide image segmentations with a larger number of labels and can be trained in a self-supervised fashion.

AUTONOMOUS DRIVING VISUAL LOCALIZATION

6
18 Aug 2019