The present application adds detection capabilities to perceive the presence and/or measure the velocity of obstacles such as automobiles, trucks, pedestrian and other users, to vehicle lighting modules as headlamp, tail lamps, centre high mount stop lamp (CHMSL) and interior lighting to name a few, for driver assistance applications like adaptive cruise control, blind spot and pre-crash assist. For example, a Light Emitting Diode (LED) has the capability to be used as lighting source for illumination as a first function and also be pulsed or modulated as a source for the detection sub-system as a second function.

Lighting system with driver assistance capabilities

A multiple-field-of-view scannerless optical rangefinder operating in pulsed Time-Of-Flight operation for use in high ambient background light is described. The rangefinder comprises an optical emitter having a LED light source and driver electronics, emitting a train of light pulses having a broad field-of-illumination (FOI); a multi-channel optical receiver (MCOR) for detecting optical return signals, an overall field-of-view (FOV) encompassing each channel instantaneous FOV, the FOI encompassing the overall FOV, the multi-channel optical receiver having analog front-end electronics; an Analog-to-Digital Converter (ADC) for receiving and converting the waveforms into digital format; a control and processing unit (CPU) for generating a pulse trigger signal, sending a synchronization trigger signal to the MCOR for starting the detection of the optical return signals, and for processing the waveforms in digital format; a data interface; wherein a peak present in any of waveforms is a signature of an object detected within the instantaneous FOV.

Multiple-field-of-view scannerless optical rangefinder in high ambient background light

A method for detecting a vehicle comprising: providing a multi-channel scannerless full-waveform lidar system operating in pulsed Time-Of-Flight operation oriented towards a surface of the roadway to cover the detection zone; providing at least one initialization parameter; emitting pulses at an emission frequency; receiving reflections of the pulses from the detection zone; and acquiring and digitalizing a series of individual complete traces at each channel of system; identifying at least one detection in at least one of the traces; obtaining a height and an intensity for the detection; determining a nature of the detection to be one of an environmental particle detection, a candidate object detection and a roadway surface detection; if the nature of the detection is the candidate object detection, detecting a presence of a vehicle in the detection zone.

System and method for traffic side detection and characterization

A method for tracking and characterizing a plurality of vehicles simultaneously in a traffic control environment, comprising: providing a 3D optical emitter; providing a 3D optical receiver with a wide and deep field of view; driving the 3D optical emitter into emitting short light pulses; receiving a reflection/backscatter of the emitted light, thereby acquiring an individual digital full-waveform LIDAR trace for each detection channel of the 3D optical receiver; using the individual digital full-waveform LIDAR trace and the emitted light waveform, detecting a presence of a plurality of vehicles, a position of at least part of each vehicle and a time at which the position is detected; assigning a unique identifier to each vehicle; repeating the steps of driving, receiving, acquiring and detecting, at a predetermined frequency; tracking and recording an updated position of each vehicle and an updated time at which the updated position is detected.

System and method for multipurpose traffic detection and characterization

There is provided a system and a method for detecting the presence of an object in a detection zone using a traffic detection system. The traffic detection system includes an optical unit having an emitter module emitting pulses within a predetermined field of emission; a receiver module receiving a part of the pulses reflected by an object in the field of emission toward a field of view of the receiver module, the field of view including a plurality of adjacent detection channels, the receiver module acquiring and converting the received pulses into a corresponding plurality of a digital signal waveforms; an image sensing module providing an image that encompasses the field of emission of the emitter module and the field of view of the receiver module. The method comprises providing a status overlay image for the field of view including the image and a visual indication on the image of an outline of the plurality of adjacent detection channels; positioning the field of view of the receiver module to cover the detection zone using the status overlay image; obtaining the plurality of digital signal waveforms using the traffic detection system; detecting a signal echo in one of the digital signal waveforms at a position within the field of view, the signal echo being caused by the presence of the object in the field of view; determining a location in the field of view for the object using the position; storing the location for the object.

Active 3d monitoring system for traffic detection

In an object sensing member M 1 , while electromagnetic waves are transmitted from transmission members 1 and 2 to a predetermined region, based upon a result of receiving electromagnetic waves reflected from an object by reception members 3 and 4 , a distance detecting member 5 detects at least a distance of the object. An abnormal condition judging member M 2 judges that the object sensing member M 1 is under abnormal condition, if a difference between a maximum value of reception levels of the electromagnetic waves received by the reception members 3 and 4 , and a minimum value of these reception levels for a predetermined time measured by a time measuring member M 3 is smaller than a predetermined threshold value. As a result, the abnormal condition judging member M 2 can surely judge the abnormal condition even, if the vehicle is driven on a desert road where objects to be sensed are occasionally present.

Vehicle-purpose object sensing apparatus

PROBLEM TO BE SOLVED: To reliably determine reductions in the sensitivity of an object detection means even when the detection frequency of objects is low. SOLUTION: The object detection means M1 transmits electromagnetic waves from transmission means 1 and 2 to a prescribed region, and a distance detection means 5 detects at least the distance to an object on the basis of results of the reception of electromagnetic waves at reception means 3 and 4 after reflection at the object. Since an anomaly determination means M2 determines that the object detection means M1 is anomalous when the difference between a maximum value and a minimum value of a reception level of electromagnetic waves received by the reception means 3 and 4 is less than a predetermined threshold within a prescribe time (for example, three minutes) timed by a timing means M3, it is possible to accurately determine anomalies even when one is traveling on a road in a desert in which there is scarcely any object to be detected. COPYRIGHT: (C)2006,JPO&NCIPI

Object detection apparatus for vehicle

Wahrend in einem Objekterfassungselement (M1) elektromagnetische Wellen von Sendeelementen (1 und 2) zu einem vorbestimmten Bereich ubertragen werden, erfasst auf Grundlage eines Ergebnisses von empfangenen elektromagnetischen Wellen, die von einem Objekt reflektiert werden, durch Empfangselemente (3 und 4) ein Abstandserfassungselement (5) wenigstens einen Abstand des Objekts. Ein Beurteilungselement (M2) fur einen unnormalen Zustand beurteilt, dass das Objekterfassungselement (M1) sich in einem unnormalen Zustand befindet, wenn eine Differenz zwischen einem Maximalwert der Empfangspegel der durch die Empfangselemente (3 und 4) empfangenen elektromagnetischen Wellen und einem Minimalwert dieser Empfangspegel fur eine vorbestimmte Zeitdauer, welche durch ein Zeitmesselement (M3) gemessen wird, kleiner ist als ein vorbestimmter Schwellenwert. Im Ergebnis kann das Beurteilungselement (M2) fur den unnormalen Zustand zuverlassig den unnormalen Zustand sogar dann beurteilen, wenn das Fahrzeug auf einer Wustenstrase gefahren wird, auf der zu erfassende Objekte lediglich sporadisch vorhanden sind.

Objekterfassungsvorrichtung für ein Fahrzeug

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Vehicle-purpose object sensing apparatus

Object detection apparatus for vehicle

Objekterfassungsvorrichtung für ein Fahrzeug