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Autonomous Vehicles

60 papers with code ยท Computer Vision

Autonomous vehicles is the task of making a vehicle that can guide itself 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.

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

Latest papers without code

Learning to Move with Affordance Maps

ICLR 2020

In this paper, we combine the best of both worlds with a modular approach that {\em learns} a spatial representation of a scene that is trained to be effective when coupled with traditional geometric planners.

AUTONOMOUS VEHICLES

Diverse Trajectory Forecasting with Determinantal Point Processes

ICLR 2020

To learn the parameters of the DSF, the diversity of the trajectory samples is evaluated by a diversity loss based on a determinantal point process (DPP).

AUTONOMOUS VEHICLES POINT PROCESSES

Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks

NeurIPS 2019

Our method is based on a graph attention network (GAT) that learns feature representations that encode the social interactions between humans in the scene, and a recurrent encoder-decoder architecture that is trained adversarially to predict, based on the features, the humans' paths.

AUTONOMOUS VEHICLES

In-Place Zero-Space Memory Protection for CNN

NeurIPS 2019

Convolutional Neural Networks (CNN) are being actively explored for safety-critical applications such as autonomous vehicles and aerospace, where it is essential to ensure the reliability of inference results in the presence of possible memory faults.

AUTONOMOUS VEHICLES

Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network

19 Nov 2019

Results show that the proposed model prediction accuracy remains satisfactory and outperforms the other approaches despite the extent of anomalies and noise-induced in the data.

AUTONOMOUS VEHICLES TIME SERIES TIME SERIES PREDICTION

Accurate Trajectory Prediction for Autonomous Vehicles

18 Nov 2019

Predicting vehicle trajectories, angle and speed is important for safe and comfortable driving.

AUTONOMOUS VEHICLES TRAJECTORY PREDICTION

Human Driver Behavior Prediction based on UrbanFlow

9 Nov 2019

How autonomous vehicles and human drivers share public transportation systems is an important problem, as fully automatic transportation environments are still a long way off.

AUTONOMOUS VEHICLES DECISION MAKING TRAJECTORY PREDICTION

Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network

8 Nov 2019

In this study, a convolutional neural network (CNN)-based deep learning model is proposed for multi-step ride-hailing demand prediction using the trip request data in Chengdu, China, offered by DiDi Chuxing.

AUTONOMOUS VEHICLES

Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network

8 Nov 2019

Accurate lane localization and lane change detection are crucial in advanced driver assistance systems and autonomous driving systems for safer and more efficient trajectory planning.

AUTONOMOUS DRIVING DECISION MAKING

Detecting Driveable Area for Autonomous Vehicles

7 Nov 2019

One of these aspects, recognizing regions on the road that are driveable is vital to the success of any autonomous system.

AUTONOMOUS DRIVING