Browse > Computer Vision > Autonomous Vehicles

Autonomous Vehicles

62 papers with code · 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.

( Image credit: AirSim )

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Latest papers with code

Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation

9 Oct 2019VRU-intention/casr

In this paper, we show how the same methodology can be used for recognizing pedestrians and cyclists' intentions.

AUTONOMOUS VEHICLES INTENT DETECTION POSE ESTIMATION

0
09 Oct 2019

High-Resolution Traffic Sensing with Autonomous Vehicles

6 Oct 2019Lemma1/NGSIM-interface

The last decades have witnessed the breakthrough of autonomous vehicles (AVs), and the perception capabilities of AVs have been dramatically improved.

AUTONOMOUS VEHICLES

6
06 Oct 2019

Bayesian Learning-Based Adaptive Control for Safety Critical Systems

5 Oct 2019ddfan/balsa

We propose a framework which satisfies these constraints while allowing the use of deep neural networks for learning model uncertainties.

AUTONOMOUS VEHICLES BAYESIAN INFERENCE GAUSSIAN PROCESSES INTERPRETABLE MACHINE LEARNING

0
05 Oct 2019

STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

ICCV 2019 huang-xx/STGAT

Besides the spatial interactions captured by the graph attention mechanism at each time-step, we adopt an extra LSTM to encode the temporal correlations of interactions.

AUTONOMOUS VEHICLES TRAJECTORY PREDICTION

15
01 Oct 2019

Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV

15 Sep 2019hku-mars/loam_livox

LiDAR odometry and mapping (LOAM) has been playing an important role in autonomous vehicles, due to its ability to simultaneously localize the robot's pose and build high-precision, high-resolution maps of the surrounding environment.

AUTONOMOUS NAVIGATION

295
15 Sep 2019

Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fields

27 Jul 2019satyajitneogiju/FLDCRF-for-sequence-labeling

Such systems call for early and accurate prediction of a pedestrian's crossing/not-crossing behaviour in front of the vehicle.

AUTONOMOUS VEHICLES TIME SERIES

2
27 Jul 2019

MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification

25 Jul 2019lukasliebel/MultiDepth

Hence, in order to overcome the notorious instability and slow convergence of depth value regression during training, MultiDepth makes use of depth interval classification as an auxiliary task.

AUTONOMOUS VEHICLES DEPTH ESTIMATION IMAGE CLASSIFICATION MULTI-TASK LEARNING REGRESSION SCENE UNDERSTANDING SEMANTIC SEGMENTATION

7
25 Jul 2019

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

19 Jul 2019LCAD-UFES/publications-arruda-ijcnn-2019

In this work, a method for training a car detection system with annotated data from a source domain (day images) without requiring the image annotations of the target domain (night images) is presented.

AUTONOMOUS VEHICLES OBJECT DETECTION UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION

8
19 Jul 2019

Estimating Pedestrian Moving State Based on Single 2D Body Pose

9 Jul 2019zxwang96/Single_Pose_CNC

The Crossing or Not-Crossing (C/NC) problem is important to autonomous vehicles (AVs) for safe vehicle/pedestrian interactions.

AUTONOMOUS VEHICLES

6
09 Jul 2019

Lane Detection and Classification using Cascaded CNNs

2 Jul 2019fabvio/Cascade-LD

Lane detection is extremely important for autonomous vehicles.

LANE DETECTION

17
02 Jul 2019