Browse > Computer Vision > Autonomous Vehicles > Autonomous Driving

Autonomous Driving

206 papers with code ยท 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.

( Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving )

Leaderboards

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

Latest papers without code

Automatic Building and Labeling of HD Maps with Deep Learning

1 Jun 2020

This approach speeds up the process of building and labeling HD maps, which can make meaningful contribution to the deployment of autonomous vehicle.

AUTONOMOUS DRIVING

Review on 3D Lidar Localization for Autonomous Driving Cars

1 Jun 2020

In this paper, we review the latest finding in 3D LIDAR localization for autonomous driving cars, and analyze the results obtained by each method, in an effort to guide the research community towards the path that seems to be the most promising.

AUTONOMOUS DRIVING SELF-DRIVING CARS

Thermal Object Detection using Domain Adaptation through Style Consistency

1 Jun 2020

This paper presents a domain adaptation method for object detection in thermal images.

AUTONOMOUS DRIVING DOMAIN ADAPTATION ROBUST OBJECT DETECTION

Probabilistic Object Classification using CNN ML-MAP layers

29 May 2020

Deep networks are currently the state-of-the-art for sensory perception in autonomous driving and robotics.

AUTONOMOUS DRIVING BAYESIAN INFERENCE OBJECT CLASSIFICATION

Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving

29 May 2020

The development process in use consists of multiple iterations of data collection, labelling, training, and evaluation.

AUTONOMOUS DRIVING SEMANTIC SEGMENTATION

QEBA: Query-Efficient Boundary-Based Blackbox Attack

28 May 2020

Such adversarial attacks can be achieved by adding a small magnitude of perturbation to the input to mislead model prediction.

AUTONOMOUS DRIVING DIMENSIONALITY REDUCTION

Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene

27 May 2020

Trajectory forecasting, or trajectory prediction, of multiple interacting agents in dynamic scenes, is an important problem for many applications, such as robotic systems and autonomous driving.

AUTONOMOUS DRIVING TRAJECTORY FORECASTING

Road Segmentation on low resolution Lidar point clouds for autonomous vehicles

27 May 2020

In our experiments the low resolution 16/32 layer LIDAR point clouds are simulated by subsampling the original 64 layer data, for subsequent transformation in to a feature map in the Bird-Eye-View (BEV) and SphericalView (SV) representations of the point cloud.

AUTONOMOUS DRIVING

Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines

25 May 2020

To reduce the communication cost, lossy data compression can be exploited for inference tasks, but may bring more erroneous inference results.

AUTONOMOUS DRIVING

Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning

22 May 2020

The kind of closed-loop verification likely to be required for autonomous vehicle (AV) safety testing is beyond the reach of traditional test methodologies and discrete verification.

AUTONOMOUS DRIVING